{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/bjw9936/Downloads/Welsh23_ISQ/masterlog.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 4 Mar 2024, 11:36:02

{com}. do "/var/folders/lc/bh2lyhmj6bz7wf29yrkxtzxm0000gp/T//SD01187.000000"
{txt}
{com}. use welsh23_macro.dta, clear
{txt}
{com}. 
{txt}end of do-file

{com}. do "/var/folders/lc/bh2lyhmj6bz7wf29yrkxtzxm0000gp/T//SD01187.000000"
{txt}
{com}. regress lnkidnap infight_b c.lndeathsb kidnap_lag terror_lag soft_lag, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}     1,404
                                                {txt}F(5, 182)         =  {res}    70.20
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4405
                                                {txt}Root MSE          =    {res} .99378

{txt}{ralign 78:(Std. err. adjusted for {res:183} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}infight_b {c |}{col 14}{res}{space 2} .8383388{col 26}{space 2} .1496654{col 37}{space 1}    5.60{col 46}{space 3}0.000{col 54}{space 4} .5430363{col 67}{space 3} 1.133641
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .1092695{col 26}{space 2} .0186189{col 37}{space 1}    5.87{col 46}{space 3}0.000{col 54}{space 4} .0725328{col 67}{space 3} .1460062
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0514428{col 26}{space 2} .0126006{col 37}{space 1}    4.08{col 46}{space 3}0.000{col 54}{space 4} .0265809{col 67}{space 3} .0763048
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0001158{col 26}{space 2} .0024506{col 37}{space 1}    0.05{col 46}{space 3}0.962{col 54}{space 4}-.0047194{col 67}{space 3}  .004951
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}-.0005504{col 26}{space 2} .0042033{col 37}{space 1}   -0.13{col 46}{space 3}0.896{col 54}{space 4} -.008844{col 67}{space 3} .0077431
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2110417{col 26}{space 2}  .059818{col 37}{space 1}    3.53{col 46}{space 3}0.001{col 54}{space 4} .0930158{col 67}{space 3} .3290675
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress lnkidnap infight_b lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}     1,404
                                                {txt}F(12, 182)        =  {res}    36.55
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4914
                                                {txt}Root MSE          =    {res} .94986

{txt}{ralign 78:(Std. err. adjusted for {res:183} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}infight_b {c |}{col 14}{res}{space 2} .8003725{col 26}{space 2} .1389111{col 37}{space 1}    5.76{col 46}{space 3}0.000{col 54}{space 4} .5262892{col 67}{space 3} 1.074456
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .0752018{col 26}{space 2} .0157414{col 37}{space 1}    4.78{col 46}{space 3}0.000{col 54}{space 4} .0441427{col 67}{space 3}  .106261
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2}-.0341664{col 26}{space 2} .0936395{col 37}{space 1}   -0.36{col 46}{space 3}0.716{col 54}{space 4}-.2189251{col 67}{space 3} .1505923
{txt}{space 8}size {c |}{col 14}{res}{space 2} .0698454{col 26}{space 2} .0696874{col 37}{space 1}    1.00{col 46}{space 3}0.318{col 54}{space 4}-.0676537{col 67}{space 3} .2073444
{txt}{space 9}nat {c |}{col 14}{res}{space 2}-.1208323{col 26}{space 2} .1542824{col 37}{space 1}   -0.78{col 46}{space 3}0.435{col 54}{space 4}-.4252444{col 67}{space 3} .1835798
{txt}{space 8}left {c |}{col 14}{res}{space 2} .1907497{col 26}{space 2} .1851735{col 37}{space 1}    1.03{col 46}{space 3}0.304{col 54}{space 4}-.1746131{col 67}{space 3} .5561125
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .2957813{col 26}{space 2} .1538127{col 37}{space 1}    1.92{col 46}{space 3}0.056{col 54}{space 4}-.0077041{col 67}{space 3} .5992667
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .3444697{col 26}{space 2} .1067119{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} .1339181{col 67}{space 3} .5550213
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .5189975{col 26}{space 2} .1173428{col 37}{space 1}    4.42{col 46}{space 3}0.000{col 54}{space 4} .2874703{col 67}{space 3} .7505248
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0438271{col 26}{space 2} .0098207{col 37}{space 1}    4.46{col 46}{space 3}0.000{col 54}{space 4} .0244501{col 67}{space 3} .0632041
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0001298{col 26}{space 2} .0020011{col 37}{space 1}    0.06{col 46}{space 3}0.948{col 54}{space 4}-.0038186{col 67}{space 3} .0040782
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}  -.00015{col 26}{space 2} .0033072{col 37}{space 1}   -0.05{col 46}{space 3}0.964{col 54}{space 4}-.0066754{col 67}{space 3} .0063755
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1910372{col 26}{space 2} .2248508{col 37}{space 1}   -0.85{col 46}{space 3}0.397{col 54}{space 4}-.6346868{col 67}{space 3} .2526123
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress lnkidnap infight_b lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag ln_gdp ln_pop pts_a efindex, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}       745
                                                {txt}F(16, 108)        =  {res}   174.52
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5502
                                                {txt}Root MSE          =    {res} .76215

{txt}{ralign 78:(Std. err. adjusted for {res:109} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}infight_b {c |}{col 14}{res}{space 2} .3472526{col 26}{space 2} .0808781{col 37}{space 1}    4.29{col 46}{space 3}0.000{col 54}{space 4} .1869382{col 67}{space 3} .5075671
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .0977376{col 26}{space 2} .0152544{col 37}{space 1}    6.41{col 46}{space 3}0.000{col 54}{space 4} .0675007{col 67}{space 3} .1279746
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2}-.0352179{col 26}{space 2} .0919243{col 37}{space 1}   -0.38{col 46}{space 3}0.702{col 54}{space 4}-.2174279{col 67}{space 3}  .146992
{txt}{space 8}size {c |}{col 14}{res}{space 2} .0042184{col 26}{space 2} .0586092{col 37}{space 1}    0.07{col 46}{space 3}0.943{col 54}{space 4}-.1119552{col 67}{space 3}  .120392
{txt}{space 9}nat {c |}{col 14}{res}{space 2}-.0898368{col 26}{space 2} .1292935{col 37}{space 1}   -0.69{col 46}{space 3}0.489{col 54}{space 4} -.346119{col 67}{space 3} .1664455
{txt}{space 8}left {c |}{col 14}{res}{space 2} .1081837{col 26}{space 2} .1586307{col 37}{space 1}    0.68{col 46}{space 3}0.497{col 54}{space 4}-.2062498{col 67}{space 3} .4226173
{txt}{space 9}rel {c |}{col 14}{res}{space 2}   .19781{col 26}{space 2} .1347673{col 37}{space 1}    1.47{col 46}{space 3}0.145{col 54}{space 4}-.0693223{col 67}{space 3} .4649422
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .5131624{col 26}{space 2} .1055439{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} .3039561{col 67}{space 3} .7223686
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .2365616{col 26}{space 2} .1106239{col 37}{space 1}    2.14{col 46}{space 3}0.035{col 54}{space 4} .0172859{col 67}{space 3} .4558374
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0893603{col 26}{space 2} .0092887{col 37}{space 1}    9.62{col 46}{space 3}0.000{col 54}{space 4} .0709486{col 67}{space 3} .1077721
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0006401{col 26}{space 2} .0020107{col 37}{space 1}    0.32{col 46}{space 3}0.751{col 54}{space 4}-.0033455{col 67}{space 3} .0046257
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2} .0001256{col 26}{space 2} .0040142{col 37}{space 1}    0.03{col 46}{space 3}0.975{col 54}{space 4}-.0078313{col 67}{space 3} .0080825
{txt}{space 6}ln_gdp {c |}{col 14}{res}{space 2}-.0860168{col 26}{space 2} .0325368{col 37}{space 1}   -2.64{col 46}{space 3}0.009{col 54}{space 4}-.1505105{col 67}{space 3}-.0215231
{txt}{space 6}ln_pop {c |}{col 14}{res}{space 2} .0923394{col 26}{space 2} .0377289{col 37}{space 1}    2.45{col 46}{space 3}0.016{col 54}{space 4} .0175542{col 67}{space 3} .1671247
{txt}{space 7}pts_a {c |}{col 14}{res}{space 2} .0365255{col 26}{space 2} .0356424{col 37}{space 1}    1.02{col 46}{space 3}0.308{col 54}{space 4} -.034124{col 67}{space 3} .1071749
{txt}{space 5}efindex {c |}{col 14}{res}{space 2} .3802115{col 26}{space 2} .1833782{col 37}{space 1}    2.07{col 46}{space 3}0.041{col 54}{space 4} .0167241{col 67}{space 3}  .743699
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.457264{col 26}{space 2} .7549891{col 37}{space 1}   -1.93{col 46}{space 3}0.056{col 54}{space 4}-2.953783{col 67}{space 3} .0392557
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * Marginal Effects
. regress lnkidnap i.infight_b lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}     1,404
                                                {txt}F(12, 182)        =  {res}    36.55
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4914
                                                {txt}Root MSE          =    {res} .94986

{txt}{ralign 78:(Std. err. adjusted for {res:183} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.infight_b {c |}{col 14}{res}{space 2} .8003725{col 26}{space 2} .1389111{col 37}{space 1}    5.76{col 46}{space 3}0.000{col 54}{space 4} .5262892{col 67}{space 3} 1.074456
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .0752018{col 26}{space 2} .0157414{col 37}{space 1}    4.78{col 46}{space 3}0.000{col 54}{space 4} .0441427{col 67}{space 3}  .106261
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2}-.0341664{col 26}{space 2} .0936395{col 37}{space 1}   -0.36{col 46}{space 3}0.716{col 54}{space 4}-.2189251{col 67}{space 3} .1505923
{txt}{space 8}size {c |}{col 14}{res}{space 2} .0698454{col 26}{space 2} .0696874{col 37}{space 1}    1.00{col 46}{space 3}0.318{col 54}{space 4}-.0676537{col 67}{space 3} .2073444
{txt}{space 9}nat {c |}{col 14}{res}{space 2}-.1208323{col 26}{space 2} .1542824{col 37}{space 1}   -0.78{col 46}{space 3}0.435{col 54}{space 4}-.4252444{col 67}{space 3} .1835798
{txt}{space 8}left {c |}{col 14}{res}{space 2} .1907497{col 26}{space 2} .1851735{col 37}{space 1}    1.03{col 46}{space 3}0.304{col 54}{space 4}-.1746131{col 67}{space 3} .5561125
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .2957813{col 26}{space 2} .1538127{col 37}{space 1}    1.92{col 46}{space 3}0.056{col 54}{space 4}-.0077041{col 67}{space 3} .5992667
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .3444697{col 26}{space 2} .1067119{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} .1339181{col 67}{space 3} .5550213
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .5189975{col 26}{space 2} .1173428{col 37}{space 1}    4.42{col 46}{space 3}0.000{col 54}{space 4} .2874703{col 67}{space 3} .7505248
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0438271{col 26}{space 2} .0098207{col 37}{space 1}    4.46{col 46}{space 3}0.000{col 54}{space 4} .0244501{col 67}{space 3} .0632041
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0001298{col 26}{space 2} .0020011{col 37}{space 1}    0.06{col 46}{space 3}0.948{col 54}{space 4}-.0038186{col 67}{space 3} .0040782
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}  -.00015{col 26}{space 2} .0033072{col 37}{space 1}   -0.05{col 46}{space 3}0.964{col 54}{space 4}-.0066754{col 67}{space 3} .0063755
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1910372{col 26}{space 2} .2248508{col 37}{space 1}   -0.85{col 46}{space 3}0.397{col 54}{space 4}-.6346868{col 67}{space 3} .2526123
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins infight_b, post
{res}
{txt}{col 1}Predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,404}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}infight_b {c |}
{space 10}0  {c |}{col 14}{res}{space 2} .7593555{col 26}{space 2} .0555195{col 37}{space 1}   13.68{col 46}{space 3}0.000{col 54}{space 4} .6498108{col 67}{space 3} .8689003
{txt}{space 10}1  {c |}{col 14}{res}{space 2} 1.559728{col 26}{space 2} .1254864{col 37}{space 1}   12.43{col 46}{space 3}0.000{col 54}{space 4} 1.312133{col 67}{space 3} 1.807323
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(scatter)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:infight_b}{p_end}
{res}{txt}
{com}. 
. regress lnkidnap infight_b lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}     1,404
                                                {txt}F(12, 182)        =  {res}    36.55
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4914
                                                {txt}Root MSE          =    {res} .94986

{txt}{ralign 78:(Std. err. adjusted for {res:183} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}infight_b {c |}{col 14}{res}{space 2} .8003725{col 26}{space 2} .1389111{col 37}{space 1}    5.76{col 46}{space 3}0.000{col 54}{space 4} .5262892{col 67}{space 3} 1.074456
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .0752018{col 26}{space 2} .0157414{col 37}{space 1}    4.78{col 46}{space 3}0.000{col 54}{space 4} .0441427{col 67}{space 3}  .106261
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2}-.0341664{col 26}{space 2} .0936395{col 37}{space 1}   -0.36{col 46}{space 3}0.716{col 54}{space 4}-.2189251{col 67}{space 3} .1505923
{txt}{space 8}size {c |}{col 14}{res}{space 2} .0698454{col 26}{space 2} .0696874{col 37}{space 1}    1.00{col 46}{space 3}0.318{col 54}{space 4}-.0676537{col 67}{space 3} .2073444
{txt}{space 9}nat {c |}{col 14}{res}{space 2}-.1208323{col 26}{space 2} .1542824{col 37}{space 1}   -0.78{col 46}{space 3}0.435{col 54}{space 4}-.4252444{col 67}{space 3} .1835798
{txt}{space 8}left {c |}{col 14}{res}{space 2} .1907497{col 26}{space 2} .1851735{col 37}{space 1}    1.03{col 46}{space 3}0.304{col 54}{space 4}-.1746131{col 67}{space 3} .5561125
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .2957813{col 26}{space 2} .1538127{col 37}{space 1}    1.92{col 46}{space 3}0.056{col 54}{space 4}-.0077041{col 67}{space 3} .5992667
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .3444697{col 26}{space 2} .1067119{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} .1339181{col 67}{space 3} .5550213
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .5189975{col 26}{space 2} .1173428{col 37}{space 1}    4.42{col 46}{space 3}0.000{col 54}{space 4} .2874703{col 67}{space 3} .7505248
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0438271{col 26}{space 2} .0098207{col 37}{space 1}    4.46{col 46}{space 3}0.000{col 54}{space 4} .0244501{col 67}{space 3} .0632041
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0001298{col 26}{space 2} .0020011{col 37}{space 1}    0.06{col 46}{space 3}0.948{col 54}{space 4}-.0038186{col 67}{space 3} .0040782
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}  -.00015{col 26}{space 2} .0033072{col 37}{space 1}   -0.05{col 46}{space 3}0.964{col 54}{space 4}-.0066754{col 67}{space 3} .0063755
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1910372{col 26}{space 2} .2248508{col 37}{space 1}   -0.85{col 46}{space 3}0.397{col 54}{space 4}-.6346868{col 67}{space 3} .2526123
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. margins, at(lndeathsb = (0(0.1)12))
{res}
{txt}{col 1}Predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,404}
{txt}{col 1}Model VCE: {res:Robust}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 9:1._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:0}}
{lalign 9:2._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:.1}}
{lalign 9:3._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:.2}}
{lalign 9:4._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:.3}}
{lalign 9:5._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:.4}}
{lalign 9:6._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:.5}}
{lalign 9:7._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:.6}}
{lalign 9:8._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:.7}}
{lalign 9:9._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:.8}}
{lalign 9:10._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:.9}}
{lalign 9:11._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:1}}
{lalign 9:12._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:1.1}}
{lalign 9:13._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:1.2}}
{lalign 9:14._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:1.3}}
{lalign 9:15._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:1.4}}
{lalign 9:16._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:1.5}}
{lalign 9:17._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:1.6}}
{lalign 9:18._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:1.7}}
{lalign 9:19._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:1.8}}
{lalign 9:20._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:1.9}}
{lalign 9:21._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:2}}
{lalign 9:22._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:2.1}}
{lalign 9:23._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:2.2}}
{lalign 9:24._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:2.3}}
{lalign 9:25._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:2.4}}
{lalign 9:26._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:2.5}}
{lalign 9:27._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:2.6}}
{lalign 9:28._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:2.7}}
{lalign 9:29._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:2.8}}
{lalign 9:30._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:2.9}}
{lalign 9:31._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:3}}
{lalign 9:32._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:3.1}}
{lalign 9:33._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:3.2}}
{lalign 9:34._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:3.3}}
{lalign 9:35._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:3.4}}
{lalign 9:36._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:3.5}}
{lalign 9:37._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:3.6}}
{lalign 9:38._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:3.7}}
{lalign 9:39._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:3.8}}
{lalign 9:40._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:3.9}}
{lalign 9:41._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:4}}
{lalign 9:42._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:4.1}}
{lalign 9:43._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:4.2}}
{lalign 9:44._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:4.3}}
{lalign 9:45._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:4.4}}
{lalign 9:46._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:4.5}}
{lalign 9:47._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:4.6}}
{lalign 9:48._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:4.7}}
{lalign 9:49._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:4.8}}
{lalign 9:50._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:4.9}}
{lalign 9:51._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:5}}
{lalign 9:52._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:5.1}}
{lalign 9:53._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:5.2}}
{lalign 9:54._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:5.3}}
{lalign 9:55._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:5.4}}
{lalign 9:56._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:5.5}}
{lalign 9:57._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:5.6}}
{lalign 9:58._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:5.7}}
{lalign 9:59._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:5.8}}
{lalign 9:60._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:5.9}}
{lalign 9:61._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:6}}
{lalign 9:62._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:6.1}}
{lalign 9:63._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:6.2}}
{lalign 9:64._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:6.3}}
{lalign 9:65._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:6.4}}
{lalign 9:66._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:6.5}}
{lalign 9:67._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:6.6}}
{lalign 9:68._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:6.7}}
{lalign 9:69._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:6.8}}
{lalign 9:70._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:6.9}}
{lalign 9:71._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:7}}
{lalign 9:72._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:7.1}}
{lalign 9:73._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:7.2}}
{lalign 9:74._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:7.3}}
{lalign 9:75._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:7.4}}
{lalign 9:76._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:7.5}}
{lalign 9:77._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:7.6}}
{lalign 9:78._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:7.7}}
{lalign 9:79._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:7.8}}
{lalign 9:80._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:7.9}}
{lalign 9:81._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:8}}
{lalign 9:82._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:8.1}}
{lalign 9:83._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:8.2}}
{lalign 9:84._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:8.3}}
{lalign 9:85._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:8.4}}
{lalign 9:86._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:8.5}}
{lalign 9:87._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:8.6}}
{lalign 9:88._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:8.7}}
{lalign 9:89._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:8.8}}
{lalign 9:90._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:8.9}}
{lalign 9:91._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:9}}
{lalign 9:92._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:9.1}}
{lalign 9:93._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:9.2}}
{lalign 9:94._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:9.3}}
{lalign 9:95._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:9.4}}
{lalign 9:96._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:9.5}}
{lalign 9:97._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:9.6}}
{lalign 9:98._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:9.7}}
{lalign 9:99._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:9.8}}
{lalign 9:100._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:9.9}}
{lalign 9:101._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:10}}
{lalign 9:102._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:10.1}}
{lalign 9:103._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:10.2}}
{lalign 9:104._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:10.3}}
{lalign 9:105._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:10.4}}
{lalign 9:106._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:10.5}}
{lalign 9:107._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:10.6}}
{lalign 9:108._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:10.7}}
{lalign 9:109._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:10.8}}
{lalign 9:110._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:10.9}}
{lalign 9:111._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:11}}
{lalign 9:112._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:11.1}}
{lalign 9:113._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:11.2}}
{lalign 9:114._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:11.3}}
{lalign 9:115._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:11.4}}
{lalign 9:116._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:11.5}}
{lalign 9:117._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:11.6}}
{lalign 9:118._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:11.7}}
{lalign 9:119._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:11.8}}
{lalign 9:120._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:11.9}}
{lalign 9:121._at: }{space 0}{lalign 9:lndeathsb} = {res:{ralign 4:12}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
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{txt}{space 10}6  {c |}{col 14}{res}{space 2} .6900356{col 26}{space 2} .0633082{col 37}{space 1}   10.90{col 46}{space 3}0.000{col 54}{space 4} .5651232{col 67}{space 3}  .814948
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .6975558{col 26}{space 2} .0623415{col 37}{space 1}   11.19{col 46}{space 3}0.000{col 54}{space 4} .5745508{col 67}{space 3} .8205608
{txt}{space 10}8  {c |}{col 14}{res}{space 2}  .705076{col 26}{space 2} .0613999{col 37}{space 1}   11.48{col 46}{space 3}0.000{col 54}{space 4} .5839288{col 67}{space 3} .8262231
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .7125962{col 26}{space 2} .0604846{col 37}{space 1}   11.78{col 46}{space 3}0.000{col 54}{space 4} .5932549{col 67}{space 3} .8319374
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{txt}{space 9}17  {c |}{col 14}{res}{space 2} .7727576{col 26}{space 2} .0542618{col 37}{space 1}   14.24{col 46}{space 3}0.000{col 54}{space 4} .6656946{col 67}{space 3} .8798206
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .7802778{col 26}{space 2} .0536413{col 37}{space 1}   14.55{col 46}{space 3}0.000{col 54}{space 4} .6744391{col 67}{space 3} .8861165
{txt}{space 9}19  {c |}{col 14}{res}{space 2}  .787798{col 26}{space 2} .0530602{col 37}{space 1}   14.85{col 46}{space 3}0.000{col 54}{space 4} .6831058{col 67}{space 3} .8924902
{txt}{space 9}20  {c |}{col 14}{res}{space 2} .7953182{col 26}{space 2} .0525199{col 37}{space 1}   15.14{col 46}{space 3}0.000{col 54}{space 4}  .691692{col 67}{space 3} .8989444
{txt}{space 9}21  {c |}{col 14}{res}{space 2} .8028384{col 26}{space 2} .0520217{col 37}{space 1}   15.43{col 46}{space 3}0.000{col 54}{space 4} .7001952{col 67}{space 3} .9054815
{txt}{space 9}22  {c |}{col 14}{res}{space 2} .8103585{col 26}{space 2} .0515667{col 37}{space 1}   15.71{col 46}{space 3}0.000{col 54}{space 4} .7086131{col 67}{space 3} .9121039
{txt}{space 9}23  {c |}{col 14}{res}{space 2} .8178787{col 26}{space 2} .0511561{col 37}{space 1}   15.99{col 46}{space 3}0.000{col 54}{space 4} .7169434{col 67}{space 3}  .918814
{txt}{space 9}24  {c |}{col 14}{res}{space 2} .8253989{col 26}{space 2}  .050791{col 37}{space 1}   16.25{col 46}{space 3}0.000{col 54}{space 4}  .725184{col 67}{space 3} .9256139
{txt}{space 9}25  {c |}{col 14}{res}{space 2} .8329191{col 26}{space 2} .0504724{col 37}{space 1}   16.50{col 46}{space 3}0.000{col 54}{space 4} .7333328{col 67}{space 3} .9325054
{txt}{space 9}26  {c |}{col 14}{res}{space 2} .8404393{col 26}{space 2} .0502012{col 37}{space 1}   16.74{col 46}{space 3}0.000{col 54}{space 4} .7413882{col 67}{space 3} .9394904
{txt}{space 9}27  {c |}{col 14}{res}{space 2} .8479595{col 26}{space 2}  .049978{col 37}{space 1}   16.97{col 46}{space 3}0.000{col 54}{space 4} .7493486{col 67}{space 3} .9465703
{txt}{space 9}28  {c |}{col 14}{res}{space 2} .8554797{col 26}{space 2} .0498037{col 37}{space 1}   17.18{col 46}{space 3}0.000{col 54}{space 4} .7572128{col 67}{space 3} .9537465
{txt}{space 9}29  {c |}{col 14}{res}{space 2} .8629998{col 26}{space 2} .0496786{col 37}{space 1}   17.37{col 46}{space 3}0.000{col 54}{space 4} .7649797{col 67}{space 3}   .96102
{txt}{space 9}30  {c |}{col 14}{res}{space 2}   .87052{col 26}{space 2} .0496032{col 37}{space 1}   17.55{col 46}{space 3}0.000{col 54}{space 4} .7726487{col 67}{space 3} .9683914
{txt}{space 9}31  {c |}{col 14}{res}{space 2} .8780402{col 26}{space 2} .0495777{col 37}{space 1}   17.71{col 46}{space 3}0.000{col 54}{space 4} .7802191{col 67}{space 3} .9758613
{txt}{space 9}32  {c |}{col 14}{res}{space 2} .8855604{col 26}{space 2} .0496022{col 37}{space 1}   17.85{col 46}{space 3}0.000{col 54}{space 4}  .787691{col 67}{space 3} .9834297
{txt}{space 9}33  {c |}{col 14}{res}{space 2} .8930806{col 26}{space 2} .0496766{col 37}{space 1}   17.98{col 46}{space 3}0.000{col 54}{space 4} .7950645{col 67}{space 3} .9910967
{txt}{space 9}34  {c |}{col 14}{res}{space 2} .9006008{col 26}{space 2} .0498006{col 37}{space 1}   18.08{col 46}{space 3}0.000{col 54}{space 4} .8023399{col 67}{space 3} .9988616
{txt}{space 9}35  {c |}{col 14}{res}{space 2}  .908121{col 26}{space 2}  .049974{col 37}{space 1}   18.17{col 46}{space 3}0.000{col 54}{space 4} .8095181{col 67}{space 3} 1.006724
{txt}{space 9}36  {c |}{col 14}{res}{space 2} .9156411{col 26}{space 2} .0501961{col 37}{space 1}   18.24{col 46}{space 3}0.000{col 54}{space 4}    .8166{col 67}{space 3} 1.014682
{txt}{space 9}37  {c |}{col 14}{res}{space 2} .9231613{col 26}{space 2} .0504664{col 37}{space 1}   18.29{col 46}{space 3}0.000{col 54}{space 4} .8235869{col 67}{space 3} 1.022736
{txt}{space 9}38  {c |}{col 14}{res}{space 2} .9306815{col 26}{space 2}  .050784{col 37}{space 1}   18.33{col 46}{space 3}0.000{col 54}{space 4} .8304804{col 67}{space 3} 1.030883
{txt}{space 9}39  {c |}{col 14}{res}{space 2} .9382017{col 26}{space 2} .0511482{col 37}{space 1}   18.34{col 46}{space 3}0.000{col 54}{space 4} .8372821{col 67}{space 3} 1.039121
{txt}{space 9}40  {c |}{col 14}{res}{space 2} .9457219{col 26}{space 2} .0515578{col 37}{space 1}   18.34{col 46}{space 3}0.000{col 54}{space 4}  .843994{col 67}{space 3}  1.04745
{txt}{space 9}41  {c |}{col 14}{res}{space 2}  .953242{col 26}{space 2} .0520119{col 37}{space 1}   18.33{col 46}{space 3}0.000{col 54}{space 4} .8506182{col 67}{space 3} 1.055866
{txt}{space 9}42  {c |}{col 14}{res}{space 2} .9607622{col 26}{space 2} .0525093{col 37}{space 1}   18.30{col 46}{space 3}0.000{col 54}{space 4}  .857157{col 67}{space 3} 1.064367
{txt}{space 9}43  {c |}{col 14}{res}{space 2} .9682824{col 26}{space 2} .0530487{col 37}{space 1}   18.25{col 46}{space 3}0.000{col 54}{space 4} .8636129{col 67}{space 3} 1.072952
{txt}{space 9}44  {c |}{col 14}{res}{space 2} .9758026{col 26}{space 2} .0536289{col 37}{space 1}   18.20{col 46}{space 3}0.000{col 54}{space 4} .8699882{col 67}{space 3} 1.081617
{txt}{space 9}45  {c |}{col 14}{res}{space 2} .9833228{col 26}{space 2} .0542486{col 37}{space 1}   18.13{col 46}{space 3}0.000{col 54}{space 4} .8762857{col 67}{space 3}  1.09036
{txt}{space 9}46  {c |}{col 14}{res}{space 2}  .990843{col 26}{space 2} .0549065{col 37}{space 1}   18.05{col 46}{space 3}0.000{col 54}{space 4} .8825078{col 67}{space 3} 1.099178
{txt}{space 9}47  {c |}{col 14}{res}{space 2} .9983631{col 26}{space 2} .0556012{col 37}{space 1}   17.96{col 46}{space 3}0.000{col 54}{space 4} .8886574{col 67}{space 3} 1.108069
{txt}{space 9}48  {c |}{col 14}{res}{space 2} 1.005883{col 26}{space 2} .0563312{col 37}{space 1}   17.86{col 46}{space 3}0.000{col 54}{space 4}  .894737{col 67}{space 3}  1.11703
{txt}{space 9}49  {c |}{col 14}{res}{space 2} 1.013404{col 26}{space 2} .0570954{col 37}{space 1}   17.75{col 46}{space 3}0.000{col 54}{space 4} .9007495{col 67}{space 3} 1.126058
{txt}{space 9}50  {c |}{col 14}{res}{space 2} 1.020924{col 26}{space 2} .0578923{col 37}{space 1}   17.63{col 46}{space 3}0.000{col 54}{space 4} .9066973{col 67}{space 3}  1.13515
{txt}{space 9}51  {c |}{col 14}{res}{space 2} 1.028444{col 26}{space 2} .0587206{col 37}{space 1}   17.51{col 46}{space 3}0.000{col 54}{space 4} .9125833{col 67}{space 3} 1.144305
{txt}{space 9}52  {c |}{col 14}{res}{space 2} 1.035964{col 26}{space 2} .0595789{col 37}{space 1}   17.39{col 46}{space 3}0.000{col 54}{space 4} .9184098{col 67}{space 3} 1.153518
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{txt}{space 9}54  {c |}{col 14}{res}{space 2} 1.051004{col 26}{space 2} .0613808{col 37}{space 1}   17.12{col 46}{space 3}0.000{col 54}{space 4} .9298949{col 67}{space 3} 1.172114
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{txt}{space 9}70  {c |}{col 14}{res}{space 2} 1.171327{col 26}{space 2}  .078898{col 37}{space 1}   14.85{col 46}{space 3}0.000{col 54}{space 4} 1.015655{col 67}{space 3}    1.327
{txt}{space 9}71  {c |}{col 14}{res}{space 2} 1.178848{col 26}{space 2} .0801287{col 37}{space 1}   14.71{col 46}{space 3}0.000{col 54}{space 4} 1.020747{col 67}{space 3} 1.336948
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{txt}{space 9}73  {c |}{col 14}{res}{space 2} 1.193888{col 26}{space 2} .0826249{col 37}{space 1}   14.45{col 46}{space 3}0.000{col 54}{space 4} 1.030862{col 67}{space 3} 1.356914
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{txt}{space 9}85  {c |}{col 14}{res}{space 2}  1.28413{col 26}{space 2} .0983913{col 37}{space 1}   13.05{col 46}{space 3}0.000{col 54}{space 4} 1.089996{col 67}{space 3} 1.478264
{txt}{space 9}86  {c |}{col 14}{res}{space 2}  1.29165{col 26}{space 2} .0997541{col 37}{space 1}   12.95{col 46}{space 3}0.000{col 54}{space 4} 1.094827{col 67}{space 3} 1.488474
{txt}{space 9}87  {c |}{col 14}{res}{space 2} 1.299171{col 26}{space 2} .1011231{col 37}{space 1}   12.85{col 46}{space 3}0.000{col 54}{space 4} 1.099646{col 67}{space 3} 1.498695
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{txt}{space 9}98  {c |}{col 14}{res}{space 2} 1.381893{col 26}{space 2} .1165245{col 37}{space 1}   11.86{col 46}{space 3}0.000{col 54}{space 4}  1.15198{col 67}{space 3} 1.611805
{txt}{space 9}99  {c |}{col 14}{res}{space 2} 1.389413{col 26}{space 2} .1179509{col 37}{space 1}   11.78{col 46}{space 3}0.000{col 54}{space 4} 1.156686{col 67}{space 3}  1.62214
{txt}{space 8}100  {c |}{col 14}{res}{space 2} 1.396933{col 26}{space 2} .1193811{col 37}{space 1}   11.70{col 46}{space 3}0.000{col 54}{space 4} 1.161384{col 67}{space 3} 1.632482
{txt}{space 8}101  {c |}{col 14}{res}{space 2} 1.404453{col 26}{space 2} .1208149{col 37}{space 1}   11.62{col 46}{space 3}0.000{col 54}{space 4} 1.166075{col 67}{space 3} 1.642831
{txt}{space 8}102  {c |}{col 14}{res}{space 2} 1.411973{col 26}{space 2} .1222521{col 37}{space 1}   11.55{col 46}{space 3}0.000{col 54}{space 4}  1.17076{col 67}{space 3} 1.653187
{txt}{space 8}103  {c |}{col 14}{res}{space 2} 1.419493{col 26}{space 2} .1236926{col 37}{space 1}   11.48{col 46}{space 3}0.000{col 54}{space 4} 1.175438{col 67}{space 3} 1.663549
{txt}{space 8}104  {c |}{col 14}{res}{space 2} 1.427014{col 26}{space 2} .1251364{col 37}{space 1}   11.40{col 46}{space 3}0.000{col 54}{space 4} 1.180109{col 67}{space 3} 1.673918
{txt}{space 8}105  {c |}{col 14}{res}{space 2} 1.434534{col 26}{space 2} .1265832{col 37}{space 1}   11.33{col 46}{space 3}0.000{col 54}{space 4} 1.184774{col 67}{space 3} 1.684293
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{txt}{space 8}110  {c |}{col 14}{res}{space 2} 1.472135{col 26}{space 2} .1338606{col 37}{space 1}   11.00{col 46}{space 3}0.000{col 54}{space 4} 1.208016{col 67}{space 3} 1.736253
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{txt}{space 8}112  {c |}{col 14}{res}{space 2} 1.487175{col 26}{space 2}   .13679{col 37}{space 1}   10.87{col 46}{space 3}0.000{col 54}{space 4} 1.217277{col 67}{space 3} 1.757073
{txt}{space 8}113  {c |}{col 14}{res}{space 2} 1.494695{col 26}{space 2} .1382583{col 37}{space 1}   10.81{col 46}{space 3}0.000{col 54}{space 4}   1.2219{col 67}{space 3} 1.767491
{txt}{space 8}114  {c |}{col 14}{res}{space 2} 1.502216{col 26}{space 2} .1397289{col 37}{space 1}   10.75{col 46}{space 3}0.000{col 54}{space 4} 1.226519{col 67}{space 3} 1.777912
{txt}{space 8}115  {c |}{col 14}{res}{space 2} 1.509736{col 26}{space 2} .1412017{col 37}{space 1}   10.69{col 46}{space 3}0.000{col 54}{space 4} 1.231133{col 67}{space 3} 1.788339
{txt}{space 8}116  {c |}{col 14}{res}{space 2} 1.517256{col 26}{space 2} .1426767{col 37}{space 1}   10.63{col 46}{space 3}0.000{col 54}{space 4} 1.235743{col 67}{space 3} 1.798769
{txt}{space 8}117  {c |}{col 14}{res}{space 2} 1.524776{col 26}{space 2} .1441538{col 37}{space 1}   10.58{col 46}{space 3}0.000{col 54}{space 4} 1.240348{col 67}{space 3} 1.809204
{txt}{space 8}118  {c |}{col 14}{res}{space 2} 1.532296{col 26}{space 2} .1456329{col 37}{space 1}   10.52{col 46}{space 3}0.000{col 54}{space 4}  1.24495{col 67}{space 3} 1.819642
{txt}{space 8}119  {c |}{col 14}{res}{space 2} 1.539816{col 26}{space 2}  .147114{col 37}{space 1}   10.47{col 46}{space 3}0.000{col 54}{space 4} 1.249548{col 67}{space 3} 1.830085
{txt}{space 8}120  {c |}{col 14}{res}{space 2} 1.547337{col 26}{space 2}  .148597{col 37}{space 1}   10.41{col 46}{space 3}0.000{col 54}{space 4} 1.254142{col 67}{space 3} 1.840531
{txt}{space 8}121  {c |}{col 14}{res}{space 2} 1.554857{col 26}{space 2} .1500819{col 37}{space 1}   10.36{col 46}{space 3}0.000{col 54}{space 4} 1.258733{col 67}{space 3} 1.850981
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(line) recastci(rarea)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:lndeathsb}{p_end}
{res}{txt}
{com}. 
. * Binary Dependent Variable (Table A3)
. logistic kidnapb infight_b lndeathsb terror_lag soft_lag, cluster(panelid)
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,404}
{txt}{col 57}{lalign 13:Wald chi2({res:4})}{col 70} = {res}{ralign 6:109.23}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-802.63393}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1611}

{txt}{ralign 78:(Std. err. adjusted for {res:183} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     kidnapb{col 14}{c |} Odds ratio{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}infight_b {c |}{col 14}{res}{space 2} 2.551281{col 26}{space 2}  .583716{col 37}{space 1}    4.09{col 46}{space 3}0.000{col 54}{space 4}  1.62933{col 67}{space 3} 3.994915
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} 1.187835{col 26}{space 2} .0449685{col 37}{space 1}    4.55{col 46}{space 3}0.000{col 54}{space 4} 1.102889{col 67}{space 3} 1.279324
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .9935782{col 26}{space 2} .0116383{col 37}{space 1}   -0.55{col 46}{space 3}0.582{col 54}{space 4} .9710275{col 67}{space 3} 1.016653
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2} 1.031642{col 26}{space 2} .0186493{col 37}{space 1}    1.72{col 46}{space 3}0.085{col 54}{space 4} .9957296{col 67}{space 3} 1.068849
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2527013{col 26}{space 2} .0411401{col 37}{space 1}   -8.45{col 46}{space 3}0.000{col 54}{space 4} .1836668{col 67}{space 3} .3476837
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline odds{txt}.{p_end}
{p 0 6 2}Note: 0 failures and 2 successes completely determined.{p_end}

{com}. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     1,404{col 28}-956.8058{col 39}-802.6339{col 50}     5{col 58} 1615.268{col 69} 1641.503
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] IC note}}.{p_end}

{com}. logistic kidnapb infight_b lndeathsb foreignspon size nat left rel regimetype territory terror_lag soft_lag, cluster(panelid)
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,404}
{txt}{col 57}{lalign 13:Wald chi2({res:11})}{col 70} = {res}{ralign 6:118.64}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-766.54089}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1989}

{txt}{ralign 78:(Std. err. adjusted for {res:183} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     kidnapb{col 14}{c |} Odds ratio{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}infight_b {c |}{col 14}{res}{space 2} 2.621336{col 26}{space 2} .5664657{col 37}{space 1}    4.46{col 46}{space 3}0.000{col 54}{space 4} 1.716246{col 67}{space 3} 4.003739
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} 1.129552{col 26}{space 2} .0387078{col 37}{space 1}    3.55{col 46}{space 3}0.000{col 54}{space 4} 1.056177{col 67}{space 3} 1.208023
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2} .9423609{col 26}{space 2} .2087879{col 37}{space 1}   -0.27{col 46}{space 3}0.789{col 54}{space 4} .6104169{col 67}{space 3} 1.454816
{txt}{space 8}size {c |}{col 14}{res}{space 2} 1.231667{col 26}{space 2} .1737207{col 37}{space 1}    1.48{col 46}{space 3}0.140{col 54}{space 4} .9341907{col 67}{space 3}  1.62387
{txt}{space 9}nat {c |}{col 14}{res}{space 2} .8008394{col 26}{space 2} .2509682{col 37}{space 1}   -0.71{col 46}{space 3}0.479{col 54}{space 4}  .433306{col 67}{space 3} 1.480118
{txt}{space 8}left {c |}{col 14}{res}{space 2} 1.240926{col 26}{space 2} .4704263{col 37}{space 1}    0.57{col 46}{space 3}0.569{col 54}{space 4} .5902846{col 67}{space 3} 2.608738
{txt}{space 9}rel {c |}{col 14}{res}{space 2}  1.53467{col 26}{space 2} .4791589{col 37}{space 1}    1.37{col 46}{space 3}0.170{col 54}{space 4} .8322438{col 67}{space 3} 2.829955
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} 1.729366{col 26}{space 2} .3966535{col 37}{space 1}    2.39{col 46}{space 3}0.017{col 54}{space 4} 1.103195{col 67}{space 3}  2.71095
{txt}{space 3}territory {c |}{col 14}{res}{space 2} 2.524401{col 26}{space 2} .5870265{col 37}{space 1}    3.98{col 46}{space 3}0.000{col 54}{space 4} 1.600366{col 67}{space 3} 3.981966
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .9908142{col 26}{space 2}  .009433{col 37}{space 1}   -0.97{col 46}{space 3}0.332{col 54}{space 4} .9724972{col 67}{space 3} 1.009476
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2} 1.032233{col 26}{space 2}  .016686{col 37}{space 1}    1.96{col 46}{space 3}0.050{col 54}{space 4} 1.000042{col 67}{space 3}  1.06546
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1054008{col 26}{space 2} .0519459{col 37}{space 1}   -4.57{col 46}{space 3}0.000{col 54}{space 4} .0401178{col 67}{space 3} .2769179
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline odds{txt}.{p_end}
{p 0 6 2}Note: 0 failures and 2 successes completely determined.{p_end}

{com}. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}     1,404{col 28}-956.8058{col 39}-766.5409{col 50}    12{col 58} 1557.082{col 69} 1620.047
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] IC note}}.{p_end}

{com}. logistic kidnapb infight_b lndeathsb foreignspon size nat left rel regimetype territory  terror_lag soft_lag ln_gdp ln_pop pts_a efindex, cluster(panelid)
{res}
{txt}{col 1}Logistic regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:745}
{txt}{col 57}{lalign 13:Wald chi2({res:15})}{col 70} = {res}{ralign 6:166.18}
{txt}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-345.94299}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2993}

{txt}{ralign 78:(Std. err. adjusted for {res:109} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     kidnapb{col 14}{c |} Odds ratio{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}infight_b {c |}{col 14}{res}{space 2} 1.753096{col 26}{space 2} .4650829{col 37}{space 1}    2.12{col 46}{space 3}0.034{col 54}{space 4}  1.04229{col 67}{space 3} 2.948648
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2}  1.32569{col 26}{space 2} .0620646{col 37}{space 1}    6.02{col 46}{space 3}0.000{col 54}{space 4}  1.20946{col 67}{space 3}  1.45309
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2} .7267509{col 26}{space 2} .2130121{col 37}{space 1}   -1.09{col 46}{space 3}0.276{col 54}{space 4} .4091633{col 67}{space 3} 1.290846
{txt}{space 8}size {c |}{col 14}{res}{space 2} 1.153036{col 26}{space 2} .1867808{col 37}{space 1}    0.88{col 46}{space 3}0.379{col 54}{space 4} .8393755{col 67}{space 3} 1.583906
{txt}{space 9}nat {c |}{col 14}{res}{space 2}  .732175{col 26}{space 2}  .254459{col 37}{space 1}   -0.90{col 46}{space 3}0.370{col 54}{space 4} .3705011{col 67}{space 3} 1.446906
{txt}{space 8}left {c |}{col 14}{res}{space 2} 1.242205{col 26}{space 2} .5818444{col 37}{space 1}    0.46{col 46}{space 3}0.643{col 54}{space 4} .4960139{col 67}{space 3}  3.11095
{txt}{space 9}rel {c |}{col 14}{res}{space 2} 1.601984{col 26}{space 2} .6935461{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4} .6857216{col 67}{space 3} 3.742557
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} 4.620269{col 26}{space 2} 1.604582{col 37}{space 1}    4.41{col 46}{space 3}0.000{col 54}{space 4} 2.339116{col 67}{space 3} 9.126047
{txt}{space 3}territory {c |}{col 14}{res}{space 2} 1.501095{col 26}{space 2} .4887173{col 37}{space 1}    1.25{col 46}{space 3}0.212{col 54}{space 4}  .793011{col 67}{space 3} 2.841431
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} 1.008537{col 26}{space 2} .0102304{col 37}{space 1}    0.84{col 46}{space 3}0.402{col 54}{space 4} .9886834{col 67}{space 3} 1.028788
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2} .9980561{col 26}{space 2} .0163019{col 37}{space 1}   -0.12{col 46}{space 3}0.905{col 54}{space 4}  .966611{col 67}{space 3} 1.030524
{txt}{space 6}ln_gdp {c |}{col 14}{res}{space 2} .6920268{col 26}{space 2} .0818516{col 37}{space 1}   -3.11{col 46}{space 3}0.002{col 54}{space 4} .5488384{col 67}{space 3} .8725722
{txt}{space 6}ln_pop {c |}{col 14}{res}{space 2} 1.309344{col 26}{space 2} .1737673{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4} 1.009457{col 67}{space 3}  1.69832
{txt}{space 7}pts_a {c |}{col 14}{res}{space 2} 1.152631{col 26}{space 2} .1652836{col 37}{space 1}    0.99{col 46}{space 3}0.322{col 54}{space 4} .8702236{col 67}{space 3} 1.526687
{txt}{space 5}efindex {c |}{col 14}{res}{space 2} 3.673508{col 26}{space 2} 2.560962{col 37}{space 1}    1.87{col 46}{space 3}0.062{col 54}{space 4} .9368532{col 67}{space 3} 14.40424
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0020968{col 26}{space 2} .0052953{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4} .0000149{col 67}{space 3} .2959581
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: {bf:_cons} estimates baseline odds{txt}.{p_end}

{com}. estat ic

{txt}Akaike's information criterion and Bayesian information criterion

{hline 13}{c TT}{hline 63}
       Model {c |}          N   ll(null)  ll(model)      df        AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       745{col 28}-493.6871{col 39} -345.943{col 50}    16{col 58}  723.886{col 69} 797.7001
{txt}{hline 13}{c BT}{hline 63}
{p 0 6 0 77}Note: BIC uses N = number of observations. See {helpb bic_note:{bind:[R] IC note}}.{p_end}

{com}. 
{txt}end of do-file

{com}. do "/var/folders/lc/bh2lyhmj6bz7wf29yrkxtzxm0000gp/T//SD01187.000000"
{txt}
{com}. * Negative Binomial Estimation (Table A4) 
. nbreg kidnap infight_b c.lndeathsb kidnap_lag terror_lag soft_lag, dispersion(mean) vce(cluster panelid)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-77397.093}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-43475.657}  (backed up)
Iteration 2:{space 2}Log pseudolikelihood = {res:-31019.267}  (backed up)
Iteration 3:{space 2}Log pseudolikelihood = {res:-6154.0512}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-4813.7804}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-4662.3068}  
Iteration 6:{space 2}Log pseudolikelihood = {res: -4659.197}  
Iteration 7:{space 2}Log pseudolikelihood = {res:-4659.1943}  
Iteration 8:{space 2}Log pseudolikelihood = {res:-4659.1943}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-3293.4069}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-2563.4287}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-2563.4056}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-2563.4056}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-2430.9486}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-2286.2582}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-2238.2705}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-2234.6594}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-2234.6282}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-2234.6281}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,404}
{txt}{col 57}{lalign 13:Wald chi2({res:5})}{col 70} = {res}{ralign 6:344.92}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-2234.6281}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1283}

{txt}{ralign 78:(Std. err. adjusted for {res:183} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      kidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}infight_b {c |}{col 14}{res}{space 2} 1.008434{col 26}{space 2} .1743368{col 37}{space 1}    5.78{col 46}{space 3}0.000{col 54}{space 4} .6667399{col 67}{space 3} 1.350127
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .1801519{col 26}{space 2} .0290968{col 37}{space 1}    6.19{col 46}{space 3}0.000{col 54}{space 4} .1231232{col 67}{space 3} .2371806
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0915355{col 26}{space 2} .0236868{col 37}{space 1}    3.86{col 46}{space 3}0.000{col 54}{space 4} .0451102{col 67}{space 3} .1379608
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2}-.0007006{col 26}{space 2} .0040681{col 37}{space 1}   -0.17{col 46}{space 3}0.863{col 54}{space 4}-.0086738{col 67}{space 3} .0072727
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2} .0015928{col 26}{space 2} .0054454{col 37}{space 1}    0.29{col 46}{space 3}0.770{col 54}{space 4}  -.00908{col 67}{space 3} .0122655
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.9125401{col 26}{space 2} .1523959{col 37}{space 1}   -5.99{col 46}{space 3}0.000{col 54}{space 4}-1.211231{col 67}{space 3}-.6138496
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnalpha {c |}{col 14}{res}{space 2}  .813766{col 26}{space 2} .0938463{col 54}{space 4} .6298307{col 67}{space 3} .9977013
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       alpha {c |}{col 14}{res}{space 2}  2.25639{col 26}{space 2} .2117538{col 54}{space 4} 1.877293{col 67}{space 3} 2.712041
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg kidnap i.infight_b c.lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag, dispersion(mean) vce(cluster panelid)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-76002.323}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-67237.158}  (backed up)
Iteration 2:{space 2}Log pseudolikelihood = {res:-45712.013}  (backed up)
Iteration 3:{space 2}Log pseudolikelihood = {res:-21856.766}  (backed up)
Iteration 4:{space 2}Log pseudolikelihood = {res:-14995.851}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-11439.677}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-4482.5728}  
Iteration 7:{space 2}Log pseudolikelihood = {res:-4108.6063}  
Iteration 8:{space 2}Log pseudolikelihood = {res:-4086.9604}  
Iteration 9:{space 2}Log pseudolikelihood = {res:-4086.8929}  
Iteration 10:{space 1}Log pseudolikelihood = {res:-4086.8929}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-3293.4069}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-2563.4287}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-2563.4056}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-2563.4056}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-2422.3842}  (not concave)
Iteration 1:{space 2}Log pseudolikelihood = {res:-2276.4217}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-2220.7404}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-2190.1996}  
Iteration 4:{space 2}Log pseudolikelihood = {res: -2189.849}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-2189.8487}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-2189.8487}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:1,404}
{txt}{col 57}{lalign 13:Wald chi2({res:12})}{col 70} = {res}{ralign 6:459.33}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-2189.8487}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.1457}

{txt}{ralign 78:(Std. err. adjusted for {res:183} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      kidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.infight_b {c |}{col 14}{res}{space 2} 1.120554{col 26}{space 2} .1693862{col 37}{space 1}    6.62{col 46}{space 3}0.000{col 54}{space 4} .7885632{col 67}{space 3} 1.452545
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .1219521{col 26}{space 2}  .025539{col 37}{space 1}    4.78{col 46}{space 3}0.000{col 54}{space 4} .0718967{col 67}{space 3} .1720076
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2} .0554345{col 26}{space 2} .1562191{col 37}{space 1}    0.35{col 46}{space 3}0.723{col 54}{space 4}-.2507494{col 67}{space 3} .3616184
{txt}{space 8}size {c |}{col 14}{res}{space 2} .0819058{col 26}{space 2}  .100043{col 37}{space 1}    0.82{col 46}{space 3}0.413{col 54}{space 4} -.114175{col 67}{space 3} .2779865
{txt}{space 9}nat {c |}{col 14}{res}{space 2}-.0712991{col 26}{space 2} .2487752{col 37}{space 1}   -0.29{col 46}{space 3}0.774{col 54}{space 4}-.5588895{col 67}{space 3} .4162914
{txt}{space 8}left {c |}{col 14}{res}{space 2} .1919169{col 26}{space 2} .2528897{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.3037379{col 67}{space 3} .6875717
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .5364867{col 26}{space 2} .2130215{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .1189722{col 67}{space 3} .9540012
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .5915136{col 26}{space 2}   .19658{col 37}{space 1}    3.01{col 46}{space 3}0.003{col 54}{space 4} .2062239{col 67}{space 3} .9768033
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .7051815{col 26}{space 2} .1655893{col 37}{space 1}    4.26{col 46}{space 3}0.000{col 54}{space 4} .3806324{col 67}{space 3} 1.029731
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0670589{col 26}{space 2} .0211124{col 37}{space 1}    3.18{col 46}{space 3}0.001{col 54}{space 4} .0256794{col 67}{space 3} .1084384
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2}-.0006537{col 26}{space 2} .0029599{col 37}{space 1}   -0.22{col 46}{space 3}0.825{col 54}{space 4} -.006455{col 67}{space 3} .0051477
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}  .001638{col 26}{space 2} .0039933{col 37}{space 1}    0.41{col 46}{space 3}0.682{col 54}{space 4}-.0061886{col 67}{space 3} .0094646
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.608357{col 26}{space 2}  .378524{col 37}{space 1}   -4.25{col 46}{space 3}0.000{col 54}{space 4} -2.35025{col 67}{space 3}-.8664632
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnalpha {c |}{col 14}{res}{space 2} .6400406{col 26}{space 2} .1208456{col 54}{space 4} .4031876{col 67}{space 3} .8768935
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       alpha {c |}{col 14}{res}{space 2} 1.896558{col 26}{space 2} .2291906{col 54}{space 4} 1.496588{col 67}{space 3} 2.403422
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. nbreg kidnap i.infight_b c.lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag ln_gdp ln_pop pts_a efindex, dispersion(mean) vce(cluster panelid)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-14573.519}  
Iteration 1:{space 2}Log pseudolikelihood = {res: -12941.59}  (backed up)
Iteration 2:{space 2}Log pseudolikelihood = {res:-7344.0572}  (backed up)
Iteration 3:{space 2}Log pseudolikelihood = {res:-6851.7948}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-2543.3465}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-1198.3153}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-1158.0136}  
Iteration 7:{space 2}Log pseudolikelihood = {res:-1157.3056}  
Iteration 8:{space 2}Log pseudolikelihood = {res:-1157.3048}  
Iteration 9:{space 2}Log pseudolikelihood = {res:-1157.3048}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-1349.3309}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-1142.4292}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-1136.0364}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-1136.0184}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-1136.0184}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res: -1054.271}  (not concave)
Iteration 1:{space 2}Log pseudolikelihood = {res: -973.1318}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-944.33273}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-916.61081}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-908.29676}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-907.98316}  
Iteration 6:{space 2}Log pseudolikelihood = {res:-907.98289}  
Iteration 7:{space 2}Log pseudolikelihood = {res:-907.98289}  
{res}
{txt}{col 1}Negative binomial regression{col 57}{lalign 13:Number of obs}{col 70} = {res}{ralign 6:745}
{txt}{col 57}{lalign 13:Wald chi2({res:16})}{col 70} = {res}{ralign 6:992.80}
{txt}{col 1}Dispersion: {res:mean}{col 57}{lalign 13:Prob > chi2}{col 70} = {res}{ralign 6:0.0000}
{txt}{col 1}{lalign 20:Log pseudolikelihood}{col 21} = {res}{ralign 10:-907.98289}{txt}{col 57}{lalign 13:Pseudo R2}{col 70} = {res}{ralign 6:0.2007}

{txt}{ralign 78:(Std. err. adjusted for {res:109} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      kidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.infight_b {c |}{col 14}{res}{space 2}  .682584{col 26}{space 2} .1821416{col 37}{space 1}    3.75{col 46}{space 3}0.000{col 54}{space 4} .3255931{col 67}{space 3} 1.039575
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2}  .246132{col 26}{space 2} .0330513{col 37}{space 1}    7.45{col 46}{space 3}0.000{col 54}{space 4} .1813525{col 67}{space 3} .3109114
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2} -.053143{col 26}{space 2} .1629069{col 37}{space 1}   -0.33{col 46}{space 3}0.744{col 54}{space 4}-.3724347{col 67}{space 3} .2661487
{txt}{space 8}size {c |}{col 14}{res}{space 2}-.0158153{col 26}{space 2} .0961739{col 37}{space 1}   -0.16{col 46}{space 3}0.869{col 54}{space 4}-.2043127{col 67}{space 3}  .172682
{txt}{space 9}nat {c |}{col 14}{res}{space 2} -.104973{col 26}{space 2} .2421727{col 37}{space 1}   -0.43{col 46}{space 3}0.665{col 54}{space 4}-.5796228{col 67}{space 3} .3696769
{txt}{space 8}left {c |}{col 14}{res}{space 2} .2322515{col 26}{space 2} .2796676{col 37}{space 1}    0.83{col 46}{space 3}0.406{col 54}{space 4} -.315887{col 67}{space 3}   .78039
{txt}{space 9}rel {c |}{col 14}{res}{space 2}  .680224{col 26}{space 2} .2290555{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4} .2312835{col 67}{space 3} 1.129164
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} 1.087162{col 26}{space 2} .2077784{col 37}{space 1}    5.23{col 46}{space 3}0.000{col 54}{space 4} .6799241{col 67}{space 3}   1.4944
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .5863135{col 26}{space 2} .1914163{col 37}{space 1}    3.06{col 46}{space 3}0.002{col 54}{space 4} .2111445{col 67}{space 3} .9614825
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0685264{col 26}{space 2} .0145148{col 37}{space 1}    4.72{col 46}{space 3}0.000{col 54}{space 4} .0400779{col 67}{space 3} .0969749
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0010041{col 26}{space 2}  .002906{col 37}{space 1}    0.35{col 46}{space 3}0.730{col 54}{space 4}-.0046916{col 67}{space 3} .0066997
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}-.0014024{col 26}{space 2} .0059461{col 37}{space 1}   -0.24{col 46}{space 3}0.814{col 54}{space 4}-.0130565{col 67}{space 3} .0102517
{txt}{space 6}ln_gdp {c |}{col 14}{res}{space 2}-.2458962{col 26}{space 2} .0946699{col 37}{space 1}   -2.60{col 46}{space 3}0.009{col 54}{space 4}-.4314458{col 67}{space 3}-.0603466
{txt}{space 6}ln_pop {c |}{col 14}{res}{space 2} .2877076{col 26}{space 2} .1015207{col 37}{space 1}    2.83{col 46}{space 3}0.005{col 54}{space 4} .0887306{col 67}{space 3} .4866846
{txt}{space 7}pts_a {c |}{col 14}{res}{space 2} .1246607{col 26}{space 2} .1099713{col 37}{space 1}    1.13{col 46}{space 3}0.257{col 54}{space 4} -.090879{col 67}{space 3} .3402004
{txt}{space 5}efindex {c |}{col 14}{res}{space 2} .4423089{col 26}{space 2} .5721741{col 37}{space 1}    0.77{col 46}{space 3}0.440{col 54}{space 4}-.6791317{col 67}{space 3}  1.56375
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-6.212613{col 26}{space 2} 1.745533{col 37}{space 1}   -3.56{col 46}{space 3}0.000{col 54}{space 4}-9.633795{col 67}{space 3}-2.791432
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}/lnalpha {c |}{col 14}{res}{space 2} .0244455{col 26}{space 2} .1561155{col 54}{space 4}-.2815352{col 67}{space 3} .3304262
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       alpha {c |}{col 14}{res}{space 2} 1.024747{col 26}{space 2} .1599788{col 54}{space 4} .7546244{col 67}{space 3} 1.391561
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Dependent Variable as a Proportion (Table A5)
. glm propkid infight_b lndeathsb kidnap_lag terror_lag soft_lag, family(binomial) link(logit) cluster(panelid)
{txt}note: propkid has noninteger values
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-368.32777}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-353.25761}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-352.74531}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-352.73666}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-352.73666}  
{res}
{txt}Generalized linear models{col 51}Number of obs{col 67}={col 69}{res}     1,404
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}     1,398
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res}        1
{txt}Deviance{col 18}={res}{col 20} 358.2293915{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70} .2562442
{txt}Pearson{col 18}={res}{col 20} 457.1321322{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70} .3269901

{txt}Variance function: {res}V(u) = {col 27}u*(1-u/1){col 51}{txt}[{res}Binomial{txt}]
Link function    : {res}g(u) = {col 27}ln(u/(1-u)){col 51}{txt}[{res}Logit{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70} .5110209
{txt}Log pseudolikelihood{col 22}= {res}-352.7366591{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70}-9773.189

{txt}{ralign 78:(Std. err. adjusted for {res:183} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     propkid{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}infight_b {c |}{col 14}{res}{space 2} .5673465{col 26}{space 2} .1625623{col 37}{space 1}    3.49{col 46}{space 3}0.000{col 54}{space 4} .2487304{col 67}{space 3} .8859627
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .0891261{col 26}{space 2} .0230896{col 37}{space 1}    3.86{col 46}{space 3}0.000{col 54}{space 4} .0438713{col 67}{space 3} .1343809
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0447035{col 26}{space 2} .0145856{col 37}{space 1}    3.06{col 46}{space 3}0.002{col 54}{space 4} .0161162{col 67}{space 3} .0732908
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} -.008971{col 26}{space 2} .0040395{col 37}{space 1}   -2.22{col 46}{space 3}0.026{col 54}{space 4}-.0168882{col 67}{space 3}-.0010538
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2} .0000778{col 26}{space 2} .0068901{col 37}{space 1}    0.01{col 46}{space 3}0.991{col 54}{space 4}-.0134265{col 67}{space 3} .0135821
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-2.589899{col 26}{space 2} .1441025{col 37}{space 1}  -17.97{col 46}{space 3}0.000{col 54}{space 4}-2.872335{col 67}{space 3}-2.307463
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. glm propkid infight_b lndeathsb size nat left rel regimetype territory kidnap_lag terror_lag soft_lag, family(binomial) link(logit) cluster(panelid)
{txt}note: propkid has noninteger values
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-364.61343}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-347.58396}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-347.04388}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-347.03568}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-347.03568}  
{res}
{txt}Generalized linear models{col 51}Number of obs{col 67}={col 69}{res}     1,404
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}     1,392
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res}        1
{txt}Deviance{col 18}={res}{col 20} 346.8274233{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70} .2491576
{txt}Pearson{col 18}={res}{col 20} 469.9546335{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70} .3376111

{txt}Variance function: {res}V(u) = {col 27}u*(1-u/1){col 51}{txt}[{res}Binomial{txt}]
Link function    : {res}g(u) = {col 27}ln(u/(1-u)){col 51}{txt}[{res}Logit{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70} .5114468
{txt}Log pseudolikelihood{col 22}= {res} -347.035675{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70}-9741.109

{txt}{ralign 78:(Std. err. adjusted for {res:183} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}     propkid{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}infight_b {c |}{col 14}{res}{space 2} .5606229{col 26}{space 2} .1609589{col 37}{space 1}    3.48{col 46}{space 3}0.000{col 54}{space 4} .2451493{col 67}{space 3} .8760965
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .0471723{col 26}{space 2}  .021423{col 37}{space 1}    2.20{col 46}{space 3}0.028{col 54}{space 4}  .005184{col 67}{space 3} .0891605
{txt}{space 8}size {c |}{col 14}{res}{space 2} .1398929{col 26}{space 2}  .106834{col 37}{space 1}    1.31{col 46}{space 3}0.190{col 54}{space 4} -.069498{col 67}{space 3} .3492837
{txt}{space 9}nat {c |}{col 14}{res}{space 2}-.2763276{col 26}{space 2} .2298353{col 37}{space 1}   -1.20{col 46}{space 3}0.229{col 54}{space 4}-.7267967{col 67}{space 3} .1741414
{txt}{space 8}left {c |}{col 14}{res}{space 2}-.1720913{col 26}{space 2} .2684058{col 37}{space 1}   -0.64{col 46}{space 3}0.521{col 54}{space 4} -.698157{col 67}{space 3} .3539744
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .2243293{col 26}{space 2}  .204155{col 37}{space 1}    1.10{col 46}{space 3}0.272{col 54}{space 4}-.1758071{col 67}{space 3} .6244658
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .3639268{col 26}{space 2} .1652786{col 37}{space 1}    2.20{col 46}{space 3}0.028{col 54}{space 4} .0399867{col 67}{space 3}  .687867
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .4896158{col 26}{space 2} .1649263{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4} .1663661{col 67}{space 3} .8128655
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2}  .036634{col 26}{space 2} .0130653{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4} .0110264{col 67}{space 3} .0622416
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} -.009859{col 26}{space 2} .0053922{col 37}{space 1}   -1.83{col 46}{space 3}0.067{col 54}{space 4}-.0204275{col 67}{space 3} .0007095
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2} .0014617{col 26}{space 2} .0081807{col 37}{space 1}    0.18{col 46}{space 3}0.858{col 54}{space 4}-.0145722{col 67}{space 3} .0174956
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-3.020342{col 26}{space 2} .3376162{col 37}{space 1}   -8.95{col 46}{space 3}0.000{col 54}{space 4}-3.682058{col 67}{space 3}-2.358627
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Alternative Measures of Variabvles (Table A6)
. regress lnkidnap infight lndeathsblag kidnap_lag terror_lag soft_lag, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}     1,119
                                                {txt}F(5, 157)         =  {res}    24.46
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3819
                                                {txt}Root MSE          =    {res} 1.1104

{txt}{ralign 78:(Std. err. adjusted for {res:158} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}infight {c |}{col 14}{res}{space 2} .0693932{col 26}{space 2} .0164208{col 37}{space 1}    4.23{col 46}{space 3}0.000{col 54}{space 4}  .036959{col 67}{space 3} .1018274
{txt}lndeathsblag {c |}{col 14}{res}{space 2} .0964109{col 26}{space 2} .0217368{col 37}{space 1}    4.44{col 46}{space 3}0.000{col 54}{space 4} .0534765{col 67}{space 3} .1393453
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0449415{col 26}{space 2} .0126572{col 37}{space 1}    3.55{col 46}{space 3}0.001{col 54}{space 4} .0199411{col 67}{space 3} .0699419
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0000129{col 26}{space 2} .0024943{col 37}{space 1}    0.01{col 46}{space 3}0.996{col 54}{space 4}-.0049137{col 67}{space 3} .0049395
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}-.0002708{col 26}{space 2} .0042945{col 37}{space 1}   -0.06{col 46}{space 3}0.950{col 54}{space 4}-.0087532{col 67}{space 3} .0082116
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .4510813{col 26}{space 2} .0779803{col 37}{space 1}    5.78{col 46}{space 3}0.000{col 54}{space 4} .2970555{col 67}{space 3} .6051072
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress lnkidnap infight lndeathsblag size nat left rel regimetype territory kidnap_lag terror_lag soft_lag, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}     1,119
                                                {txt}F(11, 157)        =  {res}    18.35
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4637
                                                {txt}Root MSE          =    {res} 1.0372

{txt}{ralign 78:(Std. err. adjusted for {res:158} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}infight {c |}{col 14}{res}{space 2} .0734667{col 26}{space 2} .0178733{col 37}{space 1}    4.11{col 46}{space 3}0.000{col 54}{space 4} .0381636{col 67}{space 3} .1087699
{txt}lndeathsblag {c |}{col 14}{res}{space 2}  .046663{col 26}{space 2} .0180434{col 37}{space 1}    2.59{col 46}{space 3}0.011{col 54}{space 4} .0110237{col 67}{space 3} .0823022
{txt}{space 8}size {c |}{col 14}{res}{space 2} .0800635{col 26}{space 2} .0796619{col 37}{space 1}    1.01{col 46}{space 3}0.316{col 54}{space 4}-.0772838{col 67}{space 3} .2374108
{txt}{space 9}nat {c |}{col 14}{res}{space 2}-.1934406{col 26}{space 2} .1798045{col 37}{space 1}   -1.08{col 46}{space 3}0.284{col 54}{space 4}-.5485884{col 67}{space 3} .1617072
{txt}{space 8}left {c |}{col 14}{res}{space 2} .2420852{col 26}{space 2} .2042168{col 37}{space 1}    1.19{col 46}{space 3}0.238{col 54}{space 4}-.1612816{col 67}{space 3} .6454521
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .2931505{col 26}{space 2} .1847177{col 37}{space 1}    1.59{col 46}{space 3}0.115{col 54}{space 4} -.071702{col 67}{space 3} .6580029
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .3243113{col 26}{space 2} .1273612{col 37}{space 1}    2.55{col 46}{space 3}0.012{col 54}{space 4} .0727488{col 67}{space 3} .5758738
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .7579674{col 26}{space 2} .1318128{col 37}{space 1}    5.75{col 46}{space 3}0.000{col 54}{space 4} .4976123{col 67}{space 3} 1.018323
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2}  .034315{col 26}{space 2} .0088724{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .0167902{col 67}{space 3} .0518397
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2}-.0001471{col 26}{space 2} .0020055{col 37}{space 1}   -0.07{col 46}{space 3}0.942{col 54}{space 4}-.0041083{col 67}{space 3}  .003814
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2} .0004289{col 26}{space 2}  .003323{col 37}{space 1}    0.13{col 46}{space 3}0.897{col 54}{space 4}-.0061347{col 67}{space 3} .0069925
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0134646{col 26}{space 2} .2349937{col 37}{space 1}    0.06{col 46}{space 3}0.954{col 54}{space 4}-.4506924{col 67}{space 3} .4776216
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress lnkidnap infight lndeathsblag foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag ln_gdp ln_pop pts_a efindex, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}       578
                                                {txt}F(16, 93)         =  {res}   203.35
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5528
                                                {txt}Root MSE          =    {res} .81212

{txt}{ralign 78:(Std. err. adjusted for {res:94} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}infight {c |}{col 14}{res}{space 2} .1223729{col 26}{space 2} .0294494{col 37}{space 1}    4.16{col 46}{space 3}0.000{col 54}{space 4} .0638922{col 67}{space 3} .1808536
{txt}lndeathsblag {c |}{col 14}{res}{space 2} .0629934{col 26}{space 2} .0179671{col 37}{space 1}    3.51{col 46}{space 3}0.001{col 54}{space 4} .0273143{col 67}{space 3} .0986724
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2} .0110386{col 26}{space 2} .1032647{col 37}{space 1}    0.11{col 46}{space 3}0.915{col 54}{space 4}-.1940246{col 67}{space 3} .2161018
{txt}{space 8}size {c |}{col 14}{res}{space 2}-.0043553{col 26}{space 2} .0656513{col 37}{space 1}   -0.07{col 46}{space 3}0.947{col 54}{space 4}-.1347258{col 67}{space 3} .1260152
{txt}{space 9}nat {c |}{col 14}{res}{space 2} -.200072{col 26}{space 2} .1249929{col 37}{space 1}   -1.60{col 46}{space 3}0.113{col 54}{space 4}-.4482832{col 67}{space 3} .0481391
{txt}{space 8}left {c |}{col 14}{res}{space 2} .0188865{col 26}{space 2}  .154875{col 37}{space 1}    0.12{col 46}{space 3}0.903{col 54}{space 4}-.2886644{col 67}{space 3} .3264375
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .1146523{col 26}{space 2} .1601402{col 37}{space 1}    0.72{col 46}{space 3}0.476{col 54}{space 4}-.2033544{col 67}{space 3}  .432659
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .6132549{col 26}{space 2} .1150622{col 37}{space 1}    5.33{col 46}{space 3}0.000{col 54}{space 4} .3847641{col 67}{space 3} .8417457
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .4275221{col 26}{space 2} .1365867{col 37}{space 1}    3.13{col 46}{space 3}0.002{col 54}{space 4}  .156288{col 67}{space 3} .6987563
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0839589{col 26}{space 2} .0108877{col 37}{space 1}    7.71{col 46}{space 3}0.000{col 54}{space 4} .0623382{col 67}{space 3} .1055797
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0016205{col 26}{space 2} .0023771{col 37}{space 1}    0.68{col 46}{space 3}0.497{col 54}{space 4}-.0030999{col 67}{space 3} .0063409
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}-.0017343{col 26}{space 2} .0044248{col 37}{space 1}   -0.39{col 46}{space 3}0.696{col 54}{space 4}-.0105211{col 67}{space 3} .0070525
{txt}{space 6}ln_gdp {c |}{col 14}{res}{space 2}-.1343624{col 26}{space 2} .0381379{col 37}{space 1}   -3.52{col 46}{space 3}0.001{col 54}{space 4}-.2100967{col 67}{space 3} -.058628
{txt}{space 6}ln_pop {c |}{col 14}{res}{space 2} .0733646{col 26}{space 2} .0404884{col 37}{space 1}    1.81{col 46}{space 3}0.073{col 54}{space 4}-.0070373{col 67}{space 3} .1537665
{txt}{space 7}pts_a {c |}{col 14}{res}{space 2} .0585299{col 26}{space 2} .0443474{col 37}{space 1}    1.32{col 46}{space 3}0.190{col 54}{space 4}-.0295353{col 67}{space 3} .1465951
{txt}{space 5}efindex {c |}{col 14}{res}{space 2} .2881651{col 26}{space 2} .1915061{col 37}{space 1}    1.50{col 46}{space 3}0.136{col 54}{space 4} -.092128{col 67}{space 3} .6684582
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.6315634{col 26}{space 2} .8531334{col 37}{space 1}   -0.74{col 46}{space 3}0.461{col 54}{space 4}-2.325717{col 67}{space 3}  1.06259
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * Results with Fixed Effects (Table A7)
. regress lnkidnap infight_b c.lndeathsb kidnap_lag terror_lag soft_lag i.year i.panelid, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}     1,404
                                                {txt}{help j_robustsingular:F(33, 182) }       =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.6837
                                                {txt}Root MSE          =    {res} .81091

{txt}{ralign 111:(Std. err. adjusted for {res:183} clusters in {res:panelid})}
{hline 46}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 47}{c |}{col 59}    Robust
{col 1}                                     lnkidnap{col 47}{c |} Coefficient{col 59}  std. err.{col 71}      t{col 79}   P>|t|{col 87}     [95% con{col 100}f. interval]
{hline 46}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}infight_b {c |}{col 47}{res}{space 2} .6873367{col 59}{space 2} .1418042{col 70}{space 1}    4.85{col 79}{space 3}0.000{col 87}{space 4} .4075451{col 100}{space 3} .9671282
{txt}{space 36}lndeathsb {c |}{col 47}{res}{space 2} .0837264{col 59}{space 2} .0214561{col 70}{space 1}    3.90{col 79}{space 3}0.000{col 87}{space 4} .0413917{col 100}{space 3} .1260611
{txt}{space 35}kidnap_lag {c |}{col 47}{res}{space 2} .0148605{col 59}{space 2} .0071954{col 70}{space 1}    2.07{col 79}{space 3}0.040{col 87}{space 4} .0006633{col 100}{space 3} .0290577
{txt}{space 35}terror_lag {c |}{col 47}{res}{space 2}-.0009599{col 59}{space 2} .0024074{col 70}{space 1}   -0.40{col 79}{space 3}0.691{col 87}{space 4}  -.00571{col 100}{space 3} .0037901
{txt}{space 37}soft_lag {c |}{col 47}{res}{space 2} .0037976{col 59}{space 2}  .003644{col 70}{space 1}    1.04{col 79}{space 3}0.299{col 87}{space 4}-.0033923{col 100}{space 3} .0109875
{txt}{space 45} {c |}
{space 41}year {c |}
{space 40}1990  {c |}{col 47}{res}{space 2} .3530468{col 59}{space 2} .1857265{col 70}{space 1}    1.90{col 79}{space 3}0.059{col 87}{space 4}-.0134072{col 100}{space 3} .7195007
{txt}{space 40}1991  {c |}{col 47}{res}{space 2} .2318789{col 59}{space 2} .2266309{col 70}{space 1}    1.02{col 79}{space 3}0.308{col 87}{space 4}-.2152829{col 100}{space 3} .6790407
{txt}{space 40}1992  {c |}{col 47}{res}{space 2}-.1375443{col 59}{space 2} .2196612{col 70}{space 1}   -0.63{col 79}{space 3}0.532{col 87}{space 4}-.5709544{col 100}{space 3} .2958658
{txt}{space 40}1993  {c |}{col 47}{res}{space 2}-.3107661{col 59}{space 2} .2053676{col 70}{space 1}   -1.51{col 79}{space 3}0.132{col 87}{space 4}-.7159737{col 100}{space 3} .0944415
{txt}{space 40}1994  {c |}{col 47}{res}{space 2}-.0343107{col 59}{space 2} .2288377{col 70}{space 1}   -0.15{col 79}{space 3}0.881{col 87}{space 4}-.4858267{col 100}{space 3} .4172053
{txt}{space 40}1995  {c |}{col 47}{res}{space 2}-.2667232{col 59}{space 2} .2023066{col 70}{space 1}   -1.32{col 79}{space 3}0.189{col 87}{space 4}-.6658911{col 100}{space 3} .1324448
{txt}{space 40}1996  {c |}{col 47}{res}{space 2}-.1317126{col 59}{space 2} .2327305{col 70}{space 1}   -0.57{col 79}{space 3}0.572{col 87}{space 4}-.5909093{col 100}{space 3} .3274841
{txt}{space 40}1997  {c |}{col 47}{res}{space 2} -.057503{col 59}{space 2} .2549187{col 70}{space 1}   -0.23{col 79}{space 3}0.822{col 87}{space 4}-.5604791{col 100}{space 3} .4454731
{txt}{space 40}1998  {c |}{col 47}{res}{space 2}-.3153291{col 59}{space 2} .2297623{col 70}{space 1}   -1.37{col 79}{space 3}0.172{col 87}{space 4}-.7686694{col 100}{space 3} .1380112
{txt}{space 40}1999  {c |}{col 47}{res}{space 2}-.0193477{col 59}{space 2} .2545213{col 70}{space 1}   -0.08{col 79}{space 3}0.939{col 87}{space 4}-.5215396{col 100}{space 3} .4828441
{txt}{space 40}2000  {c |}{col 47}{res}{space 2} .0280154{col 59}{space 2} .2688627{col 70}{space 1}    0.10{col 79}{space 3}0.917{col 87}{space 4}-.5024734{col 100}{space 3} .5585042
{txt}{space 40}2001  {c |}{col 47}{res}{space 2} .0159994{col 59}{space 2} .2432792{col 70}{space 1}    0.07{col 79}{space 3}0.948{col 87}{space 4}-.4640109{col 100}{space 3} .4960096
{txt}{space 40}2002  {c |}{col 47}{res}{space 2} -.055032{col 59}{space 2} .2455188{col 70}{space 1}   -0.22{col 79}{space 3}0.823{col 87}{space 4}-.5394612{col 100}{space 3} .4293971
{txt}{space 40}2003  {c |}{col 47}{res}{space 2}-.3571062{col 59}{space 2} .2222533{col 70}{space 1}   -1.61{col 79}{space 3}0.110{col 87}{space 4}-.7956307{col 100}{space 3} .0814184
{txt}{space 40}2004  {c |}{col 47}{res}{space 2}-.4412891{col 59}{space 2} .2231204{col 70}{space 1}   -1.98{col 79}{space 3}0.049{col 87}{space 4}-.8815245{col 100}{space 3}-.0010537
{txt}{space 40}2005  {c |}{col 47}{res}{space 2}-.0204345{col 59}{space 2} .2456361{col 70}{space 1}   -0.08{col 79}{space 3}0.934{col 87}{space 4}-.5050951{col 100}{space 3} .4642261
{txt}{space 40}2006  {c |}{col 47}{res}{space 2} .0112745{col 59}{space 2} .2805675{col 70}{space 1}    0.04{col 79}{space 3}0.968{col 87}{space 4}-.5423087{col 100}{space 3} .5648577
{txt}{space 40}2007  {c |}{col 47}{res}{space 2}-.1936483{col 59}{space 2} .2137748{col 70}{space 1}   -0.91{col 79}{space 3}0.366{col 87}{space 4} -.615444{col 100}{space 3} .2281473
{txt}{space 40}2008  {c |}{col 47}{res}{space 2} .2394423{col 59}{space 2} .2539972{col 70}{space 1}    0.94{col 79}{space 3}0.347{col 87}{space 4}-.2617155{col 100}{space 3} .7406001
{txt}{space 40}2009  {c |}{col 47}{res}{space 2}-.0065125{col 59}{space 2}  .263083{col 70}{space 1}   -0.02{col 79}{space 3}0.980{col 87}{space 4}-.5255973{col 100}{space 3} .5125724
{txt}{space 40}2010  {c |}{col 47}{res}{space 2}-.0331215{col 59}{space 2} .2660656{col 70}{space 1}   -0.12{col 79}{space 3}0.901{col 87}{space 4}-.5580914{col 100}{space 3} .4918483
{txt}{space 40}2011  {c |}{col 47}{res}{space 2}  .123635{col 59}{space 2} .2400034{col 70}{space 1}    0.52{col 79}{space 3}0.607{col 87}{space 4}-.3499119{col 100}{space 3}  .597182
{txt}{space 40}2012  {c |}{col 47}{res}{space 2} .2234142{col 59}{space 2} .2183715{col 70}{space 1}    1.02{col 79}{space 3}0.308{col 87}{space 4}-.2074512{col 100}{space 3} .6542795
{txt}{space 40}2013  {c |}{col 47}{res}{space 2} .4336622{col 59}{space 2} .2239063{col 70}{space 1}    1.94{col 79}{space 3}0.054{col 87}{space 4}-.0081237{col 100}{space 3} .8754481
{txt}{space 40}2014  {c |}{col 47}{res}{space 2} .5341608{col 59}{space 2} .2445214{col 70}{space 1}    2.18{col 79}{space 3}0.030{col 87}{space 4} .0516995{col 100}{space 3} 1.016622
{txt}{space 40}2015  {c |}{col 47}{res}{space 2} .3165119{col 59}{space 2} .2378744{col 70}{space 1}    1.33{col 79}{space 3}0.185{col 87}{space 4}-.1528342{col 100}{space 3} .7858581
{txt}{space 40}2016  {c |}{col 47}{res}{space 2} .3220538{col 59}{space 2}   .22086{col 70}{space 1}    1.46{col 79}{space 3}0.147{col 87}{space 4}-.1137216{col 100}{space 3} .7578291
{txt}{space 40}2017  {c |}{col 47}{res}{space 2} .3768073{col 59}{space 2} .2306453{col 70}{space 1}    1.63{col 79}{space 3}0.104{col 87}{space 4}-.0782753{col 100}{space 3}   .83189
{txt}{space 40}2018  {c |}{col 47}{res}{space 2} .2386991{col 59}{space 2} .2439397{col 70}{space 1}    0.98{col 79}{space 3}0.329{col 87}{space 4}-.2426144{col 100}{space 3} .7200125
{txt}{space 45} {c |}
{space 38}panelid {c |}
{space 30}Afghanistan IS  {c |}{col 47}{res}{space 2} 1.378602{col 59}{space 2} .2408135{col 70}{space 1}    5.72{col 79}{space 3}0.000{col 87}{space 4} .9034563{col 100}{space 3} 1.853747
{txt}Afghanistan Jam'iyyat-i Islami-yi Afghanis..  {c |}{col 47}{res}{space 2} 1.010287{col 59}{space 2} .1639205{col 70}{space 1}    6.16{col 79}{space 3}0.000{col 87}{space 4} .6868576{col 100}{space 3} 1.333715
{txt}{space 25}Afghanistan Taleban  {c |}{col 47}{res}{space 2} 1.452715{col 59}{space 2} .2047495{col 70}{space 1}    7.10{col 79}{space 3}0.000{col 87}{space 4} 1.048727{col 100}{space 3} 1.856703
{txt}{space 27}Afghanistan UIFSA  {c |}{col 47}{res}{space 2}-.7034745{col 59}{space 2} .2030807{col 70}{space 1}   -3.46{col 79}{space 3}0.001{col 87}{space 4} -1.10417{col 100}{space 3}-.3027792
{txt}{space 33}Algeria AIS  {c |}{col 47}{res}{space 2} .1317182{col 59}{space 2} .1257642{col 70}{space 1}    1.05{col 79}{space 3}0.296{col 87}{space 4}-.1164252{col 100}{space 3} .3798615
{txt}{space 32}Algeria AQIM  {c |}{col 47}{res}{space 2} -.064652{col 59}{space 2} .0941659{col 70}{space 1}   -0.69{col 79}{space 3}0.493{col 87}{space 4}-.2504493{col 100}{space 3} .1211452
{txt}{space 33}Algeria GIA  {c |}{col 47}{res}{space 2} .0873524{col 59}{space 2} .1033091{col 70}{space 1}    0.85{col 79}{space 3}0.399{col 87}{space 4}-.1164852{col 100}{space 3}   .29119
{txt}{space 34}Algeria IS  {c |}{col 47}{res}{space 2}-1.262501{col 59}{space 2} .1855368{col 70}{space 1}   -6.80{col 79}{space 3}0.000{col 87}{space 4}-1.628581{col 100}{space 3}-.8964212
{txt}{space 31}Algeria MUJAO  {c |}{col 47}{res}{space 2}-.6168697{col 59}{space 2} .1325702{col 70}{space 1}   -4.65{col 79}{space 3}0.000{col 87}{space 4} -.878442{col 100}{space 3}-.3552975
{txt}{space 32}Angola UNITA  {c |}{col 47}{res}{space 2} .1556296{col 59}{space 2} .0918725{col 70}{space 1}    1.69{col 79}{space 3}0.092{col 87}{space 4}-.0256426{col 100}{space 3} .3369018
{txt}{space 31}Bangladesh IS  {c |}{col 47}{res}{space 2}-1.148591{col 59}{space 2} .2065933{col 70}{space 1}   -5.56{col 79}{space 3}0.000{col 87}{space 4}-1.556217{col 100}{space 3}-.7409646
{txt}{space 27}Bangladesh JSS/SB  {c |}{col 47}{res}{space 2} .4757925{col 59}{space 2} .0809023{col 70}{space 1}    5.88{col 79}{space 3}0.000{col 87}{space 4} .3161655{col 100}{space 3} .6354195
{txt}{space 29}Bangladesh PBCP  {c |}{col 47}{res}{space 2}-.4521297{col 59}{space 2} .1176223{col 70}{space 1}   -3.84{col 79}{space 3}0.000{col 87}{space 4}-.6842084{col 100}{space 3}-.2200509
{txt}{space 27}Bangladesh PBCP-J  {c |}{col 47}{res}{space 2}-.4777268{col 59}{space 2} .1173209{col 70}{space 1}   -4.07{col 79}{space 3}0.000{col 87}{space 4}-.7092108{col 100}{space 3}-.2462428
{txt}{space 32}Burundi CNDD  {c |}{col 47}{res}{space 2}  .154292{col 59}{space 2} .1079407{col 70}{space 1}    1.43{col 79}{space 3}0.155{col 87}{space 4}-.0586841{col 100}{space 3} .3672681
{txt}{space 33}Cambodia KR  {c |}{col 47}{res}{space 2} .7725396{col 59}{space 2} .0765247{col 70}{space 1}   10.10{col 79}{space 3}0.000{col 87}{space 4} .6215499{col 100}{space 3} .9235293
{txt}Cameroon Jama'atu Ahlis Sunna Lidda'awati ..  {c |}{col 47}{res}{space 2}  1.23269{col 59}{space 2} .1529896{col 70}{space 1}    8.06{col 79}{space 3}0.000{col 87}{space 4} .9308292{col 100}{space 3} 1.534552
{txt}{space 15}Central African Republic CPJP  {c |}{col 47}{res}{space 2}-.3769837{col 59}{space 2} .0877369{col 70}{space 1}   -4.30{col 79}{space 3}0.000{col 87}{space 4}-.5500959{col 100}{space 3}-.2038715
{txt}{space 13}Central African Republic Seleka  {c |}{col 47}{res}{space 2} .8576498{col 59}{space 2} .1409402{col 70}{space 1}    6.09{col 79}{space 3}0.000{col 87}{space 4}  .579563{col 100}{space 3} 1.135737
{txt}Central African Republic UPC (Ali Darass ..)  {c |}{col 47}{res}{space 2} .6503595{col 59}{space 2} .1219918{col 70}{space 1}    5.33{col 79}{space 3}0.000{col 87}{space 4} .4096593{col 100}{space 3} .8910596
{txt}{space 8}Central African Republic anti-Balaka  {c |}{col 47}{res}{space 2} .3055262{col 59}{space 2} .1066819{col 70}{space 1}    2.86{col 79}{space 3}0.005{col 87}{space 4} .0950338{col 100}{space 3} .5160186
{txt}{space 35}Chad MDJT  {c |}{col 47}{res}{space 2}-.2655283{col 59}{space 2} .1357562{col 70}{space 1}   -1.96{col 79}{space 3}0.052{col 87}{space 4}-.5333867{col 100}{space 3} .0023301
{txt}{space 35}Chad UFDD  {c |}{col 47}{res}{space 2}-.1217291{col 59}{space 2} .0854345{col 70}{space 1}   -1.42{col 79}{space 3}0.156{col 87}{space 4}-.2902984{col 100}{space 3} .0468403
{txt}{space 32}Colombia ELN  {c |}{col 47}{res}{space 2}  2.02704{col 59}{space 2} .0759973{col 70}{space 1}   26.67{col 79}{space 3}0.000{col 87}{space 4} 1.877091{col 100}{space 3} 2.176989
{txt}{space 32}Colombia EPL  {c |}{col 47}{res}{space 2} .7096623{col 59}{space 2} .0695859{col 70}{space 1}   10.20{col 79}{space 3}0.000{col 87}{space 4} .5723635{col 100}{space 3} .8469611
{txt}{space 31}Colombia FARC  {c |}{col 47}{res}{space 2} 1.760617{col 59}{space 2} .0878044{col 70}{space 1}   20.05{col 79}{space 3}0.000{col 87}{space 4} 1.587372{col 100}{space 3} 1.933863
{txt}{space 20}Colombia FARC dissidents  {c |}{col 47}{res}{space 2} 1.821031{col 59}{space 2} .1607312{col 70}{space 1}   11.33{col 79}{space 3}0.000{col 87}{space 4} 1.503895{col 100}{space 3} 2.138167
{txt}{space 31}Colombia M-19  {c |}{col 47}{res}{space 2} .0577264{col 59}{space 2} .1369859{col 70}{space 1}    0.42{col 79}{space 3}0.674{col 87}{space 4}-.2125582{col 100}{space 3}  .328011
{txt}{space 32}Congo Ninjas  {c |}{col 47}{res}{space 2} .1787273{col 59}{space 2} .1404279{col 70}{space 1}    1.27{col 79}{space 3}0.205{col 87}{space 4}-.0983488{col 100}{space 3} .4558033
{txt}{space 10}Democratic Republic of Congo APCLS  {c |}{col 47}{res}{space 2}-.6362454{col 59}{space 2} .0957636{col 70}{space 1}   -6.64{col 79}{space 3}0.000{col 87}{space 4} -.825195{col 100}{space 3}-.4472959
{txt}{space 12}Democratic Republic of Congo BDK  {c |}{col 47}{res}{space 2}-.7768307{col 59}{space 2} .1243585{col 70}{space 1}   -6.25{col 79}{space 3}0.000{col 87}{space 4}-1.022201{col 100}{space 3}-.5314609
{txt}{space 2}Democratic Republic of Congo Kamuina Nsapu  {c |}{col 47}{res}{space 2}-.8813129{col 59}{space 2} .1373202{col 70}{space 1}   -6.42{col 79}{space 3}0.000{col 87}{space 4}-1.152257{col 100}{space 3}-.6103685
{txt}{space 12}Democratic Republic of Congo M23  {c |}{col 47}{res}{space 2}-.9343392{col 59}{space 2} .1197901{col 70}{space 1}   -7.80{col 79}{space 3}0.000{col 87}{space 4}-1.170695{col 100}{space 3}-.6979833
{txt}{space 31}Djibouti FRUD  {c |}{col 47}{res}{space 2}  .349229{col 59}{space 2} .1025764{col 70}{space 1}    3.40{col 79}{space 3}0.001{col 87}{space 4} .1468371{col 100}{space 3} .5516209
{txt}{space 18}Egypt Ansar Bayt al-Maqdis  {c |}{col 47}{res}{space 2} 2.142897{col 59}{space 2} .1562711{col 70}{space 1}   13.71{col 79}{space 3}0.000{col 87}{space 4} 1.834561{col 100}{space 3} 2.451233
{txt}{space 36}Egypt IS  {c |}{col 47}{res}{space 2} 1.426266{col 59}{space 2} .1761056{col 70}{space 1}    8.10{col 79}{space 3}0.000{col 87}{space 4} 1.078795{col 100}{space 3} 1.773737
{txt}{space 16}Egypt al-Gama'a al-Islamiyya  {c |}{col 47}{res}{space 2}-.3325904{col 59}{space 2} .0956525{col 70}{space 1}   -3.48{col 79}{space 3}0.001{col 87}{space 4}-.5213209{col 100}{space 3}-.1438599
{txt}{space 28}El Salvador FMLN  {c |}{col 47}{res}{space 2} -.492261{col 59}{space 2} .1826096{col 70}{space 1}   -2.70{col 79}{space 3}0.008{col 87}{space 4}-.8525651{col 100}{space 3}-.1319568
{txt}{space 31}Ethiopia AIAI  {c |}{col 47}{res}{space 2} -.009434{col 59}{space 2} .1249341{col 70}{space 1}   -0.08{col 79}{space 3}0.940{col 87}{space 4}-.2559394{col 100}{space 3} .2370714
{txt}{space 30}Ethiopia ARDUF  {c |}{col 47}{res}{space 2} .1581458{col 59}{space 2} .1060883{col 70}{space 1}    1.49{col 79}{space 3}0.138{col 87}{space 4}-.0511753{col 100}{space 3} .3674669
{txt}{space 32}Ethiopia ELF  {c |}{col 47}{res}{space 2} .1125601{col 59}{space 2} .1380979{col 70}{space 1}    0.82{col 79}{space 3}0.416{col 87}{space 4}-.1599187{col 100}{space 3}  .385039
{txt}{space 31}Ethiopia EPLF  {c |}{col 47}{res}{space 2}-.3818285{col 59}{space 2} .1702995{col 70}{space 1}   -2.24{col 79}{space 3}0.026{col 87}{space 4}-.7178437{col 100}{space 3}-.0458133
{txt}{space 31}Ethiopia EPRP  {c |}{col 47}{res}{space 2}-.5934346{col 59}{space 2} .2012662{col 70}{space 1}   -2.95{col 79}{space 3}0.004{col 87}{space 4}-.9905499{col 100}{space 3}-.1963194
{txt}{space 32}Ethiopia OLF  {c |}{col 47}{res}{space 2} -.026487{col 59}{space 2} .0716072{col 70}{space 1}   -0.37{col 79}{space 3}0.712{col 87}{space 4}-.1677739{col 100}{space 3} .1147999
{txt}{space 31}Ethiopia ONLF  {c |}{col 47}{res}{space 2}-.2663042{col 59}{space 2} .1243288{col 70}{space 1}   -2.14{col 79}{space 3}0.034{col 87}{space 4}-.5116154{col 100}{space 3} -.020993
{txt}{space 31}Ethiopia TPLF  {c |}{col 47}{res}{space 2}-.0050018{col 59}{space 2} .1164011{col 70}{space 1}   -0.04{col 79}{space 3}0.966{col 87}{space 4}-.2346709{col 100}{space 3} .2246674
{txt}{space 31}Guatemala EGP  {c |}{col 47}{res}{space 2}-.0097276{col 59}{space 2}  .151531{col 70}{space 1}   -0.06{col 79}{space 3}0.949{col 87}{space 4}-.3087111{col 100}{space 3} .2892559
{txt}{space 30}Guatemala ORPA  {c |}{col 47}{res}{space 2}-.2236061{col 59}{space 2} .1687481{col 70}{space 1}   -1.33{col 79}{space 3}0.187{col 87}{space 4}-.5565604{col 100}{space 3} .1093481
{txt}{space 30}Guatemala URNG  {c |}{col 47}{res}{space 2} .1397605{col 59}{space 2}  .079758{col 70}{space 1}    1.75{col 79}{space 3}0.081{col 87}{space 4}-.0176087{col 100}{space 3} .2971297
{txt}{space 34}India ATTF  {c |}{col 47}{res}{space 2} .0556336{col 59}{space 2} .0736268{col 70}{space 1}    0.76{col 79}{space 3}0.451{col 87}{space 4}-.0896382{col 100}{space 3} .2009053
{txt}{space 28}India CPI-Maoist  {c |}{col 47}{res}{space 2} 1.776123{col 59}{space 2} .1546188{col 70}{space 1}   11.49{col 79}{space 3}0.000{col 87}{space 4} 1.471047{col 100}{space 3} 2.081199
{txt}{space 34}India GNLA  {c |}{col 47}{res}{space 2} 1.634875{col 59}{space 2} .0733988{col 70}{space 1}   22.27{col 79}{space 3}0.000{col 87}{space 4} 1.490053{col 100}{space 3} 1.779697
{txt}{space 35}India KCP  {c |}{col 47}{res}{space 2}-.2552493{col 59}{space 2} .0554196{col 70}{space 1}   -4.61{col 79}{space 3}0.000{col 87}{space 4}-.3645968{col 100}{space 3}-.1459018
{txt}{space 35}India KNF  {c |}{col 47}{res}{space 2}-.0213094{col 59}{space 2} .1401223{col 70}{space 1}   -0.15{col 79}{space 3}0.879{col 87}{space 4}-.2977824{col 100}{space 3} .2551637
{txt}{space 20}India Kashmir insurgents  {c |}{col 47}{res}{space 2}-.0458254{col 59}{space 2} .1055568{col 70}{space 1}   -0.43{col 79}{space 3}0.665{col 87}{space 4}-.2540979{col 100}{space 3} .1624471
{txt}{space 35}India MCC  {c |}{col 47}{res}{space 2}-.2089084{col 59}{space 2} .0771176{col 70}{space 1}   -2.71{col 79}{space 3}0.007{col 87}{space 4}-.3610679{col 100}{space 3} -.056749
{txt}{space 34}India NDFB  {c |}{col 47}{res}{space 2}  .408509{col 59}{space 2} .0383854{col 70}{space 1}   10.64{col 79}{space 3}0.000{col 87}{space 4} .3327714{col 100}{space 3} .4842466
{txt}{space 34}India NLFT  {c |}{col 47}{res}{space 2} .8158754{col 59}{space 2} .0509824{col 70}{space 1}   16.00{col 79}{space 3}0.000{col 87}{space 4} .7152828{col 100}{space 3}  .916468
{txt}{space 31}India NSCN-IM  {c |}{col 47}{res}{space 2} .4245396{col 59}{space 2} .0398338{col 70}{space 1}   10.66{col 79}{space 3}0.000{col 87}{space 4} .3459441{col 100}{space 3} .5031351
{txt}{space 35}India PLA  {c |}{col 47}{res}{space 2}-.1401859{col 59}{space 2}  .049751{col 70}{space 1}   -2.82{col 79}{space 3}0.005{col 87}{space 4}-.2383489{col 100}{space 3}-.0420229
{txt}{space 32}India PREPAK  {c |}{col 47}{res}{space 2}-.1900043{col 59}{space 2} .0652593{col 70}{space 1}   -2.91{col 79}{space 3}0.004{col 87}{space 4}-.3187663{col 100}{space 3}-.0612423
{txt}{space 35}India PWG  {c |}{col 47}{res}{space 2}-.0333393{col 59}{space 2} .0915324{col 70}{space 1}   -0.36{col 79}{space 3}0.716{col 87}{space 4}-.2139403{col 100}{space 3} .1472617
{txt}{space 34}India ULFA  {c |}{col 47}{res}{space 2} .2594521{col 59}{space 2} .0384351{col 70}{space 1}    6.75{col 79}{space 3}0.000{col 87}{space 4} .1836164{col 100}{space 3} .3352878
{txt}{space 34}India UNLF  {c |}{col 47}{res}{space 2}-.5399547{col 59}{space 2} .0625198{col 70}{space 1}   -8.64{col 79}{space 3}0.000{col 87}{space 4}-.6633115{col 100}{space 3}-.4165979
{txt}{space 26}Indonesia Fretilin  {c |}{col 47}{res}{space 2} .1191196{col 59}{space 2} .1023033{col 70}{space 1}    1.16{col 79}{space 3}0.246{col 87}{space 4}-.0827335{col 100}{space 3} .3209727
{txt}{space 31}Indonesia GAM  {c |}{col 47}{res}{space 2} .1319989{col 59}{space 2} .0756318{col 70}{space 1}    1.75{col 79}{space 3}0.083{col 87}{space 4}-.0172291{col 100}{space 3} .2812269
{txt}{space 31}Indonesia OPM  {c |}{col 47}{res}{space 2} .3468369{col 59}{space 2} .0547746{col 70}{space 1}    6.33{col 79}{space 3}0.000{col 87}{space 4}  .238762{col 100}{space 3} .4549118
{txt}{space 30}Iran Jondullah  {c |}{col 47}{res}{space 2} .2053906{col 59}{space 2}  .071706{col 70}{space 1}    2.86{col 79}{space 3}0.005{col 87}{space 4} .0639087{col 100}{space 3} .3468726
{txt}{space 35}Iran KDPI  {c |}{col 47}{res}{space 2}-.6821865{col 59}{space 2} .1593646{col 70}{space 1}   -4.28{col 79}{space 3}0.000{col 87}{space 4}-.9966264{col 100}{space 3}-.3677467
{txt}{space 36}Iran MEK  {c |}{col 47}{res}{space 2}-.1296277{col 59}{space 2} .0794612{col 70}{space 1}   -1.63{col 79}{space 3}0.105{col 87}{space 4}-.2864114{col 100}{space 3}  .027156
{txt}{space 35}Iran PJAK  {c |}{col 47}{res}{space 2} -.511704{col 59}{space 2} .0606995{col 70}{space 1}   -8.43{col 79}{space 3}0.000{col 87}{space 4}-.6314693{col 100}{space 3}-.3919388
{txt}{space 25}Iraq Ansar al-Islam  {c |}{col 47}{res}{space 2}  .142661{col 59}{space 2} .0605709{col 70}{space 1}    2.36{col 79}{space 3}0.020{col 87}{space 4} .0231496{col 100}{space 3} .2621723
{txt}{space 37}Iraq IS  {c |}{col 47}{res}{space 2} .3081821{col 59}{space 2} .2336432{col 70}{space 1}    1.32{col 79}{space 3}0.189{col 87}{space 4}-.1528156{col 100}{space 3} .7691799
{txt}{space 36}Iraq KDP  {c |}{col 47}{res}{space 2}-.1971998{col 59}{space 2}  .100711{col 70}{space 1}   -1.96{col 79}{space 3}0.052{col 87}{space 4}-.3959111{col 100}{space 3} .0015115
{txt}{space 36}Iraq PUK  {c |}{col 47}{res}{space 2}-.7758478{col 59}{space 2} .1649851{col 70}{space 1}   -4.70{col 79}{space 3}0.000{col 87}{space 4}-1.101377{col 100}{space 3}-.4503183
{txt}{space 34}Iraq SCIRI  {c |}{col 47}{res}{space 2}-.0461748{col 59}{space 2} .0985209{col 70}{space 1}   -0.47{col 79}{space 3}0.640{col 87}{space 4}-.2405648{col 100}{space 3} .1482153
{txt}{space 26}Iraq al-Mahdi Army  {c |}{col 47}{res}{space 2}-.5579625{col 59}{space 2} .1184573{col 70}{space 1}   -4.71{col 79}{space 3}0.000{col 87}{space 4}-.7916888{col 100}{space 3}-.3242363
{txt}{space 34}Israel AMB  {c |}{col 47}{res}{space 2}-.1375826{col 59}{space 2} .0567315{col 70}{space 1}   -2.43{col 79}{space 3}0.016{col 87}{space 4}-.2495187{col 100}{space 3}-.0256465
{txt}{space 32}Israel Fatah  {c |}{col 47}{res}{space 2}-.3828057{col 59}{space 2} .0837461{col 70}{space 1}   -4.57{col 79}{space 3}0.000{col 87}{space 4}-.5480437{col 100}{space 3}-.2175676
{txt}{space 32}Israel Hamas  {c |}{col 47}{res}{space 2}-.3160995{col 59}{space 2} .0432348{col 70}{space 1}   -7.31{col 79}{space 3}0.000{col 87}{space 4}-.4014054{col 100}{space 3}-.2307937
{txt}{space 28}Israel Hezbollah  {c |}{col 47}{res}{space 2} -.195303{col 59}{space 2} .0430642{col 70}{space 1}   -4.54{col 79}{space 3}0.000{col 87}{space 4}-.2802723{col 100}{space 3}-.1103338
{txt}{space 33}Israel PFLP  {c |}{col 47}{res}{space 2} -.190454{col 59}{space 2} .0406028{col 70}{space 1}   -4.69{col 79}{space 3}0.000{col 87}{space 4}-.2705667{col 100}{space 3}-.1103413
{txt}{space 34}Israel PIJ  {c |}{col 47}{res}{space 2}-.4155118{col 59}{space 2} .0396368{col 70}{space 1}  -10.48{col 79}{space 3}0.000{col 87}{space 4}-.4937184{col 100}{space 3}-.3373051
{txt}{space 34}Israel PLO  {c |}{col 47}{res}{space 2}-.3846241{col 59}{space 2} .1712685{col 70}{space 1}   -2.25{col 79}{space 3}0.026{col 87}{space 4}-.7225512{col 100}{space 3}-.0466969
{txt}{space 34}Israel PRC  {c |}{col 47}{res}{space 2} -.382708{col 59}{space 2} .0431193{col 70}{space 1}   -8.88{col 79}{space 3}0.000{col 87}{space 4} -.467786{col 100}{space 3}-.2976301
{txt}{space 28}Kenya Al-Shabaab  {c |}{col 47}{res}{space 2}  .825203{col 59}{space 2}  .102604{col 70}{space 1}    8.04{col 79}{space 3}0.000{col 87}{space 4} .6227567{col 100}{space 3} 1.027649
{txt}{space 32}Lebanon Amal  {c |}{col 47}{res}{space 2}-.3744447{col 59}{space 2}  .122092{col 70}{space 1}   -3.07{col 79}{space 3}0.002{col 87}{space 4}-.6153424{col 100}{space 3} -.133547
{txt}{space 33}Lebanon NUF  {c |}{col 47}{res}{space 2}-.6630141{col 59}{space 2} .1626005{col 70}{space 1}   -4.08{col 79}{space 3}0.000{col 87}{space 4}-.9838385{col 100}{space 3}-.3421897
{txt}{space 32}Liberia LURD  {c |}{col 47}{res}{space 2} .5623653{col 59}{space 2} .1303557{col 70}{space 1}    4.31{col 79}{space 3}0.000{col 87}{space 4} .3051625{col 100}{space 3} .8195681
{txt}{space 32}Liberia NPFL  {c |}{col 47}{res}{space 2} .5487766{col 59}{space 2} .1218222{col 70}{space 1}    4.50{col 79}{space 3}0.000{col 87}{space 4} .3084111{col 100}{space 3} .7891421
{txt}{space 35}Libya ASL  {c |}{col 47}{res}{space 2}-.0643439{col 59}{space 2} .0871883{col 70}{space 1}   -0.74{col 79}{space 3}0.461{col 87}{space 4}-.2363738{col 100}{space 3}  .107686
{txt}{space 36}Libya IS  {c |}{col 47}{res}{space 2} 1.647429{col 59}{space 2} .2878605{col 70}{space 1}    5.72{col 79}{space 3}0.000{col 87}{space 4} 1.079456{col 100}{space 3} 2.215402
{txt}{space 35}Mali AQIM  {c |}{col 47}{res}{space 2} .1078826{col 59}{space 2} .0891708{col 70}{space 1}    1.21{col 79}{space 3}0.228{col 87}{space 4} -.068059{col 100}{space 3} .2838241
{txt}{space 29}Mali Ansar Dine  {c |}{col 47}{res}{space 2}-.5338159{col 59}{space 2} .0841164{col 70}{space 1}   -6.35{col 79}{space 3}0.000{col 87}{space 4}-.6997847{col 100}{space 3}-.3678472
{txt}{space 36}Mali CMA  {c |}{col 47}{res}{space 2} .3333325{col 59}{space 2} .0771962{col 70}{space 1}    4.32{col 79}{space 3}0.000{col 87}{space 4} .1810179{col 100}{space 3} .4856472
{txt}{space 36}Mali FLM  {c |}{col 47}{res}{space 2} .6063454{col 59}{space 2} .1137727{col 70}{space 1}    5.33{col 79}{space 3}0.000{col 87}{space 4} .3818623{col 100}{space 3} .8308286
{txt}{space 37}Mali IS  {c |}{col 47}{res}{space 2}   .31356{col 59}{space 2} .2830534{col 70}{space 1}    1.11{col 79}{space 3}0.269{col 87}{space 4}-.2449282{col 100}{space 3} .8720481
{txt}{space 35}Mali JNIM  {c |}{col 47}{res}{space 2} 1.608876{col 59}{space 2} .1720949{col 70}{space 1}    9.35{col 79}{space 3}0.000{col 87}{space 4} 1.269318{col 100}{space 3} 1.948434
{txt}{space 34}Mali MUJAO  {c |}{col 47}{res}{space 2} .2193847{col 59}{space 2} .0926742{col 70}{space 1}    2.37{col 79}{space 3}0.019{col 87}{space 4} .0365306{col 100}{space 3} .4022387
{txt}{space 14}Mali Signed-in-Blood Battalion  {c |}{col 47}{res}{space 2}-.3443337{col 59}{space 2} .1734912{col 70}{space 1}   -1.98{col 79}{space 3}0.049{col 87}{space 4}-.6866465{col 100}{space 3} -.002021
{txt}{space 29}Mauritania AQIM  {c |}{col 47}{res}{space 2}  .117649{col 59}{space 2}  .117891{col 70}{space 1}    1.00{col 79}{space 3}0.320{col 87}{space 4}-.1149599{col 100}{space 3} .3502578
{txt}{space 34}Mexico EPR  {c |}{col 47}{res}{space 2} .0219673{col 59}{space 2} .0930808{col 70}{space 1}    0.24{col 79}{space 3}0.814{col 87}{space 4}-.1616889{col 100}{space 3} .2056234
{txt}{space 33}Mexico EZLN  {c |}{col 47}{res}{space 2} .1254822{col 59}{space 2} .0849075{col 70}{space 1}    1.48{col 79}{space 3}0.141{col 87}{space 4}-.0420475{col 100}{space 3} .2930118
{txt}{space 27}Mozambique Renamo  {c |}{col 47}{res}{space 2} .1557425{col 59}{space 2} .0586651{col 70}{space 1}    2.65{col 79}{space 3}0.009{col 87}{space 4} .0399913{col 100}{space 3} .2714936
{txt}{space 31}Myanmar ABSDF  {c |}{col 47}{res}{space 2} .1336552{col 59}{space 2} .1168184{col 70}{space 1}    1.14{col 79}{space 3}0.254{col 87}{space 4}-.0968374{col 100}{space 3} .3641477
{txt}{space 32}Myanmar ARSA  {c |}{col 47}{res}{space 2}-.2919811{col 59}{space 2} .1771854{col 70}{space 1}   -1.65{col 79}{space 3}0.101{col 87}{space 4}-.6415828{col 100}{space 3} .0576205
{txt}{space 33}Myanmar CPB  {c |}{col 47}{res}{space 2}-.0287817{col 59}{space 2} .2135777{col 70}{space 1}   -0.13{col 79}{space 3}0.893{col 87}{space 4}-.4501885{col 100}{space 3}  .392625
{txt}{space 30}Myanmar DKBA 5  {c |}{col 47}{res}{space 2}-.1367594{col 59}{space 2} .0963107{col 70}{space 1}   -1.42{col 79}{space 3}0.157{col 87}{space 4}-.3267884{col 100}{space 3} .0532696
{txt}{space 33}Myanmar KIO  {c |}{col 47}{res}{space 2}-.0956558{col 59}{space 2} .0559267{col 70}{space 1}   -1.71{col 79}{space 3}0.089{col 87}{space 4}-.2060038{col 100}{space 3} .0146923
{txt}{space 32}Myanmar KNPP  {c |}{col 47}{res}{space 2} -.224128{col 59}{space 2} .0973414{col 70}{space 1}   -2.30{col 79}{space 3}0.022{col 87}{space 4}-.4161907{col 100}{space 3}-.0320653
{txt}{space 33}Myanmar KNU  {c |}{col 47}{res}{space 2}-.1914051{col 59}{space 2}  .047771{col 70}{space 1}   -4.01{col 79}{space 3}0.000{col 87}{space 4}-.2856614{col 100}{space 3}-.0971488
{txt}{space 33}Myanmar MTA  {c |}{col 47}{res}{space 2}-.2225377{col 59}{space 2} .1087894{col 70}{space 1}   -2.05{col 79}{space 3}0.042{col 87}{space 4}-.4371884{col 100}{space 3} -.007887
{txt}{space 32}Myanmar RCSS  {c |}{col 47}{res}{space 2} -.566177{col 59}{space 2} .0934289{col 70}{space 1}   -6.06{col 79}{space 3}0.000{col 87}{space 4}  -.75052{col 100}{space 3} -.381834
{txt}{space 33}Myanmar RSO  {c |}{col 47}{res}{space 2}-.7195641{col 59}{space 2} .1278479{col 70}{space 1}   -5.63{col 79}{space 3}0.000{col 87}{space 4}-.9718188{col 100}{space 3}-.4673093
{txt}{space 33}Myanmar SSA  {c |}{col 47}{res}{space 2}-.3663812{col 59}{space 2}  .103419{col 70}{space 1}   -3.54{col 79}{space 3}0.001{col 87}{space 4}-.5704355{col 100}{space 3}-.1623269
{txt}{space 32}Myanmar UWSA  {c |}{col 47}{res}{space 2} 1.834929{col 59}{space 2} .1583598{col 70}{space 1}   11.59{col 79}{space 3}0.000{col 87}{space 4} 1.522472{col 100}{space 3} 2.147386
{txt}{space 33}Nepal CPN-M  {c |}{col 47}{res}{space 2}-.3232708{col 59}{space 2} .1140001{col 70}{space 1}   -2.84{col 79}{space 3}0.005{col 87}{space 4}-.5482026{col 100}{space 3}-.0983391
{txt}{space 30}Nicaragua FSLN  {c |}{col 47}{res}{space 2}  .048955{col 59}{space 2} .1038823{col 70}{space 1}    0.47{col 79}{space 3}0.638{col 87}{space 4}-.1560135{col 100}{space 3} .2539235
{txt}{space 35}Niger FDR  {c |}{col 47}{res}{space 2}-.1437195{col 59}{space 2} .1495123{col 70}{space 1}   -0.96{col 79}{space 3}0.338{col 87}{space 4}-.4387199{col 100}{space 3} .1512808
{txt}{space 36}Niger IS  {c |}{col 47}{res}{space 2}-.6914248{col 59}{space 2} .1988437{col 70}{space 1}   -3.48{col 79}{space 3}0.001{col 87}{space 4} -1.08376{col 100}{space 3}-.2990894
{txt}{space 35}Niger MNJ  {c |}{col 47}{res}{space 2} 1.744035{col 59}{space 2} .1291886{col 70}{space 1}   13.50{col 79}{space 3}0.000{col 87}{space 4} 1.489135{col 100}{space 3} 1.998935
{txt}Nigeria Jama'atu Ahlis Sunna Lidda'awati w..  {c |}{col 47}{res}{space 2} 1.022965{col 59}{space 2} .1839545{col 70}{space 1}    5.56{col 79}{space 3}0.000{col 87}{space 4} .6600074{col 100}{space 3} 1.385923
{txt}{space 32}Pakistan BLA  {c |}{col 47}{res}{space 2} .3283185{col 59}{space 2} .0450918{col 70}{space 1}    7.28{col 79}{space 3}0.000{col 87}{space 4} .2393486{col 100}{space 3} .4172884
{txt}{space 32}Pakistan BLF  {c |}{col 47}{res}{space 2} .6285869{col 59}{space 2} .0708808{col 70}{space 1}    8.87{col 79}{space 3}0.000{col 87}{space 4} .4887331{col 100}{space 3} .7684407
{txt}{space 32}Pakistan BRA  {c |}{col 47}{res}{space 2}-.2324039{col 59}{space 2} .0618019{col 70}{space 1}   -3.76{col 79}{space 3}0.000{col 87}{space 4}-.3543443{col 100}{space 3}-.1104636
{txt}{space 33}Pakistan IS  {c |}{col 47}{res}{space 2}-.8231492{col 59}{space 2} .1861337{col 70}{space 1}   -4.42{col 79}{space 3}0.000{col 87}{space 4}-1.190407{col 100}{space 3}-.4558917
{txt}{space 20}Pakistan Jamaat-ul-Ahrar  {c |}{col 47}{res}{space 2}-.1434437{col 59}{space 2} .1751318{col 70}{space 1}   -0.82{col 79}{space 3}0.414{col 87}{space 4}-.4889934{col 100}{space 3} .2021061
{txt}{space 20}Pakistan Lashkar-e-Islam  {c |}{col 47}{res}{space 2} .4972877{col 59}{space 2}  .128998{col 70}{space 1}    3.86{col 79}{space 3}0.000{col 87}{space 4} .2427638{col 100}{space 3} .7518115
{txt}{space 32}Pakistan MQM  {c |}{col 47}{res}{space 2}-.3303634{col 59}{space 2} .0863802{col 70}{space 1}   -3.82{col 79}{space 3}0.000{col 87}{space 4}-.5007989{col 100}{space 3} -.159928
{txt}{space 32}Pakistan TTP  {c |}{col 47}{res}{space 2} 1.144864{col 59}{space 2} .1806146{col 70}{space 1}    6.34{col 79}{space 3}0.000{col 87}{space 4} .7884963{col 100}{space 3} 1.501232
{txt}{space 32}Pakistan UBA  {c |}{col 47}{res}{space 2} .0350878{col 59}{space 2} .0873656{col 70}{space 1}    0.40{col 79}{space 3}0.688{col 87}{space 4}-.1372918{col 100}{space 3} .2074675
{txt}{space 24}Papua New Guinea BRA  {c |}{col 47}{res}{space 2} .0624693{col 59}{space 2} .0731572{col 70}{space 1}    0.85{col 79}{space 3}0.394{col 87}{space 4}-.0818761{col 100}{space 3} .2068146
{txt}{space 35}Peru MRTA  {c |}{col 47}{res}{space 2} .5530409{col 59}{space 2} .0781376{col 70}{space 1}    7.08{col 79}{space 3}0.000{col 87}{space 4} .3988688{col 100}{space 3}  .707213
{txt}{space 23}Peru Sendero Luminoso  {c |}{col 47}{res}{space 2} .0291722{col 59}{space 2} .0673739{col 70}{space 1}    0.43{col 79}{space 3}0.666{col 87}{space 4}-.1037623{col 100}{space 3} .1621067
{txt}{space 29}Philippines ASG  {c |}{col 47}{res}{space 2} 1.764708{col 59}{space 2} .0742138{col 70}{space 1}   23.78{col 79}{space 3}0.000{col 87}{space 4} 1.618278{col 100}{space 3} 1.911138
{txt}{space 28}Philippines BIFM  {c |}{col 47}{res}{space 2}  .280907{col 59}{space 2} .0833299{col 70}{space 1}    3.37{col 79}{space 3}0.001{col 87}{space 4} .1164901{col 100}{space 3} .4453238
{txt}{space 29}Philippines CPP  {c |}{col 47}{res}{space 2} .9697106{col 59}{space 2} .0829711{col 70}{space 1}   11.69{col 79}{space 3}0.000{col 87}{space 4} .8060016{col 100}{space 3}  1.13342
{txt}{space 28}Philippines MILF  {c |}{col 47}{res}{space 2}  .574253{col 59}{space 2} .0433594{col 70}{space 1}   13.24{col 79}{space 3}0.000{col 87}{space 4} .4887014{col 100}{space 3} .6598047
{txt}{space 28}Philippines MNLF  {c |}{col 47}{res}{space 2} .3332891{col 59}{space 2} .0586558{col 70}{space 1}    5.68{col 79}{space 3}0.000{col 87}{space 4} .2175563{col 100}{space 3} .4490218
{txt}{space 21}Philippines Maute group  {c |}{col 47}{res}{space 2} .5425901{col 59}{space 2} .0979195{col 70}{space 1}    5.54{col 79}{space 3}0.000{col 87}{space 4} .3493866{col 100}{space 3} .7357936
{txt}{space 9}Russia Chechen Republic of Ichkeria  {c |}{col 47}{res}{space 2}-.5476456{col 59}{space 2} .1441927{col 70}{space 1}   -3.80{col 79}{space 3}0.000{col 87}{space 4}-.8321499{col 100}{space 3}-.2631412
{txt}{space 7}Russia Forces of the Caucasus Emirate  {c |}{col 47}{res}{space 2}-.7605706{col 59}{space 2} .0917572{col 70}{space 1}   -8.29{col 79}{space 3}0.000{col 87}{space 4}-.9416154{col 100}{space 3}-.5795259
{txt}{space 35}Russia IS  {c |}{col 47}{res}{space 2}-1.198153{col 59}{space 2} .1806602{col 70}{space 1}   -6.63{col 79}{space 3}0.000{col 87}{space 4}-1.554611{col 100}{space 3}-.8416956
{txt}{space 33}Rwanda FDLR  {c |}{col 47}{res}{space 2}-.5811843{col 59}{space 2} .0749781{col 70}{space 1}   -7.75{col 79}{space 3}0.000{col 87}{space 4}-.7291224{col 100}{space 3}-.4332462
{txt}{space 34}Rwanda FPR  {c |}{col 47}{res}{space 2}-.0653292{col 59}{space 2} .1075064{col 70}{space 1}   -0.61{col 79}{space 3}0.544{col 87}{space 4}-.2774485{col 100}{space 3} .1467901
{txt}{space 32}Senegal MFDC  {c |}{col 47}{res}{space 2} .0028549{col 59}{space 2} .0294338{col 70}{space 1}    0.10{col 79}{space 3}0.923{col 87}{space 4}-.0552205{col 100}{space 3} .0609302
{txt}{space 28}Sierra Leone RUF  {c |}{col 47}{res}{space 2} 1.005688{col 59}{space 2} .1332462{col 70}{space 1}    7.55{col 79}{space 3}0.000{col 87}{space 4} .7427821{col 100}{space 3} 1.268594
{txt}{space 29}Somalia ARS/UIC  {c |}{col 47}{res}{space 2} .4233061{col 59}{space 2} .0971233{col 70}{space 1}    4.36{col 79}{space 3}0.000{col 87}{space 4} .2316737{col 100}{space 3} .6149385
{txt}{space 26}Somalia Al-Shabaab  {c |}{col 47}{res}{space 2} 1.419439{col 59}{space 2} .2155178{col 70}{space 1}    6.59{col 79}{space 3}0.000{col 87}{space 4} .9942043{col 100}{space 3} 1.844674
{txt}{space 24}Somalia Hizbul Islam  {c |}{col 47}{res}{space 2} .7956193{col 59}{space 2} .1512539{col 70}{space 1}    5.26{col 79}{space 3}0.000{col 87}{space 4} .4971827{col 100}{space 3} 1.094056
{txt}{space 33}Somalia SNM  {c |}{col 47}{res}{space 2}-.1953299{col 59}{space 2} .1275345{col 70}{space 1}   -1.53{col 79}{space 3}0.127{col 87}{space 4}-.4469662{col 100}{space 3} .0563063
{txt}{space 28}South Africa ANC  {c |}{col 47}{res}{space 2}-.3165936{col 59}{space 2} .1258069{col 70}{space 1}   -2.52{col 79}{space 3}0.013{col 87}{space 4}-.5648212{col 100}{space 3}-.0683661
{txt}{space 12}South Sudan SPLM/A In Opposition  {c |}{col 47}{res}{space 2} 2.026493{col 59}{space 2} .1136543{col 70}{space 1}   17.83{col 79}{space 3}0.000{col 87}{space 4} 1.802244{col 100}{space 3} 2.250743
{txt}{space 35}Spain ETA  {c |}{col 47}{res}{space 2} .2235585{col 59}{space 2} .0846068{col 70}{space 1}    2.64{col 79}{space 3}0.009{col 87}{space 4} .0566221{col 100}{space 3} .3904949
{txt}{space 29}Sri Lanka EPRLF  {c |}{col 47}{res}{space 2}-1.135897{col 59}{space 2} .2280082{col 70}{space 1}   -4.98{col 79}{space 3}0.000{col 87}{space 4}-1.585777{col 100}{space 3} -.686018
{txt}{space 31}Sri Lanka JVP  {c |}{col 47}{res}{space 2}-.1016293{col 59}{space 2}  .254832{col 70}{space 1}   -0.40{col 79}{space 3}0.691{col 87}{space 4}-.6044343{col 100}{space 3} .4011758
{txt}{space 30}Sri Lanka LTTE  {c |}{col 47}{res}{space 2}-.0352944{col 59}{space 2} .1485151{col 70}{space 1}   -0.24{col 79}{space 3}0.812{col 87}{space 4}-.3283271{col 100}{space 3} .2577383
{txt}{space 30}Sri Lanka TELO  {c |}{col 47}{res}{space 2}-.7132386{col 59}{space 2} .2421537{col 70}{space 1}   -2.95{col 79}{space 3}0.004{col 87}{space 4}-1.191028{col 100}{space 3}-.2354491
{txt}{space 35}Sudan JEM  {c |}{col 47}{res}{space 2}  .370739{col 59}{space 2} .0607981{col 70}{space 1}    6.10{col 79}{space 3}0.000{col 87}{space 4} .2507793{col 100}{space 3} .4906988
{txt}{space 33}Sudan SLM/A  {c |}{col 47}{res}{space 2} .0668336{col 59}{space 2} .0537716{col 70}{space 1}    1.24{col 79}{space 3}0.215{col 87}{space 4}-.0392624{col 100}{space 3} .1729296
{txt}{space 28}Sudan SLM/A - MM  {c |}{col 47}{res}{space 2} .0494624{col 59}{space 2} .0971693{col 70}{space 1}    0.51{col 79}{space 3}0.611{col 87}{space 4}-.1422607{col 100}{space 3} .2411855
{txt}{space 32}Sudan SPLM/A  {c |}{col 47}{res}{space 2}-.0019339{col 59}{space 2} .0568357{col 70}{space 1}   -0.03{col 79}{space 3}0.973{col 87}{space 4}-.1140756{col 100}{space 3} .1102077
{txt}{space 26}Sudan SPLM/A-North  {c |}{col 47}{res}{space 2}-.1590742{col 59}{space 2} .0831143{col 70}{space 1}   -1.91{col 79}{space 3}0.057{col 87}{space 4}-.3230657{col 100}{space 3} .0049173
{txt}{space 36}Syria IS  {c |}{col 47}{res}{space 2} 1.371394{col 59}{space 2} .2680423{col 70}{space 1}    5.12{col 79}{space 3}0.000{col 87}{space 4} .8425242{col 100}{space 3} 1.900264
{txt}{space 21}Syria Syrian insurgents  {c |}{col 47}{res}{space 2} .1031509{col 59}{space 2} .2024314{col 70}{space 1}    0.51{col 79}{space 3}0.611{col 87}{space 4}-.2962633{col 100}{space 3} .5025651
{txt}{space 18}Thailand Patani insurgents  {c |}{col 47}{res}{space 2}-.2404647{col 59}{space 2} .0271869{col 70}{space 1}   -8.84{col 79}{space 3}0.000{col 87}{space 4}-.2941066{col 100}{space 3}-.1868227
{txt}{space 25}Turkey Devrimci Sol  {c |}{col 47}{res}{space 2}-.0843597{col 59}{space 2} .0717622{col 70}{space 1}   -1.18{col 79}{space 3}0.241{col 87}{space 4}-.2259526{col 100}{space 3} .0572333
{txt}{space 34}Turkey PKK  {c |}{col 47}{res}{space 2} .7473606{col 59}{space 2} .1009833{col 70}{space 1}    7.40{col 79}{space 3}0.000{col 87}{space 4} .5481121{col 100}{space 3} .9466092
{txt}{space 34}Turkey TAK  {c |}{col 47}{res}{space 2}-.3094704{col 59}{space 2} .0735998{col 70}{space 1}   -4.20{col 79}{space 3}0.000{col 87}{space 4}-.4546891{col 100}{space 3}-.1642518
{txt}{space 34}Uganda ADF  {c |}{col 47}{res}{space 2}-.2851438{col 59}{space 2} .0844531{col 70}{space 1}   -3.38{col 79}{space 3}0.001{col 87}{space 4}-.4517769{col 100}{space 3}-.1185106
{txt}{space 34}Uganda HSM  {c |}{col 47}{res}{space 2}-.2095616{col 59}{space 2}  .168953{col 70}{space 1}   -1.24{col 79}{space 3}0.216{col 87}{space 4}-.5429201{col 100}{space 3} .1237968
{txt}{space 34}Uganda LRA  {c |}{col 47}{res}{space 2} .7498686{col 59}{space 2} .1050152{col 70}{space 1}    7.14{col 79}{space 3}0.000{col 87}{space 4} .5426647{col 100}{space 3} .9570725
{txt}{space 34}Uganda UPA  {c |}{col 47}{res}{space 2}-1.000634{col 59}{space 2} .1832228{col 70}{space 1}   -5.46{col 79}{space 3}0.000{col 87}{space 4}-1.362148{col 100}{space 3}-.6391196
{txt}{space 33}Ukraine DPR  {c |}{col 47}{res}{space 2} .3380463{col 59}{space 2} .2665036{col 70}{space 1}    1.27{col 79}{space 3}0.206{col 87}{space 4}-.1877876{col 100}{space 3} .8638803
{txt}{space 33}Ukraine LPR  {c |}{col 47}{res}{space 2}  .095001{col 59}{space 2} .1200224{col 70}{space 1}    0.79{col 79}{space 3}0.430{col 87}{space 4}-.1418133{col 100}{space 3} .3318152
{txt}{space 25}United Kingdom PIRA  {c |}{col 47}{res}{space 2}-.1080821{col 59}{space 2} .0731625{col 70}{space 1}   -1.48{col 79}{space 3}0.141{col 87}{space 4}-.2524379{col 100}{space 3} .0362738
{txt}{space 22}Venezuela Bandera Roja  {c |}{col 47}{res}{space 2} .1634859{col 59}{space 2} .1182246{col 70}{space 1}    1.38{col 79}{space 3}0.168{col 87}{space 4}-.0697813{col 100}{space 3}  .396753
{txt}{space 34}Yemen AQAP  {c |}{col 47}{res}{space 2} .6809703{col 59}{space 2} .0925674{col 70}{space 1}    7.36{col 79}{space 3}0.000{col 87}{space 4} .4983271{col 100}{space 3} .8636135
{txt}{space 28}Yemen Ansarallah  {c |}{col 47}{res}{space 2} 1.697262{col 59}{space 2} .1361369{col 70}{space 1}   12.47{col 79}{space 3}0.000{col 87}{space 4} 1.428652{col 100}{space 3} 1.965871
{txt}{space 24}Yemen Forces of Hadi  {c |}{col 47}{res}{space 2}-.9708183{col 59}{space 2} .1478344{col 70}{space 1}   -6.57{col 79}{space 3}0.000{col 87}{space 4}-1.262508{col 100}{space 3}-.6791287
{txt}{space 36}Yemen IS  {c |}{col 47}{res}{space 2}-1.665022{col 59}{space 2} .2480802{col 70}{space 1}   -6.71{col 79}{space 3}0.000{col 87}{space 4}-2.154505{col 100}{space 3}-1.175539
{txt}{space 31}Zimbabwe ZANU  {c |}{col 47}{res}{space 2} -.391082{col 59}{space 2} .0736664{col 70}{space 1}   -5.31{col 79}{space 3}0.000{col 87}{space 4}-.5364321{col 100}{space 3}-.2457319
{txt}{space 45} {c |}
{space 40}_cons {c |}{col 47}{res}{space 2} .0259441{col 59}{space 2} .2137768{col 70}{space 1}    0.12{col 79}{space 3}0.904{col 87}{space 4}-.3958555{col 100}{space 3} .4477436
{txt}{hline 46}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress lnkidnap i.infight_b c.lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag i.year i.panelid, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}     1,404
                                                {txt}{help j_robustsingular:F(40, 182) }       =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.6866
                                                {txt}Root MSE          =    {res} .80952

{txt}{ralign 111:(Std. err. adjusted for {res:183} clusters in {res:panelid})}
{hline 46}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 47}{c |}{col 59}    Robust
{col 1}                                     lnkidnap{col 47}{c |} Coefficient{col 59}  std. err.{col 71}      t{col 79}   P>|t|{col 87}     [95% con{col 100}f. interval]
{hline 46}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 34}1.infight_b {c |}{col 47}{res}{space 2} .6769844{col 59}{space 2}  .141251{col 70}{space 1}    4.79{col 79}{space 3}0.000{col 87}{space 4} .3982843{col 100}{space 3} .9556845
{txt}{space 36}lndeathsb {c |}{col 47}{res}{space 2} .0795522{col 59}{space 2} .0212233{col 70}{space 1}    3.75{col 79}{space 3}0.000{col 87}{space 4} .0376768{col 100}{space 3} .1214275
{txt}{space 34}foreignspon {c |}{col 47}{res}{space 2}-.1436992{col 59}{space 2} .1250121{col 70}{space 1}   -1.15{col 79}{space 3}0.252{col 87}{space 4}-.3903586{col 100}{space 3} .1029602
{txt}{space 41}size {c |}{col 47}{res}{space 2}-.0346975{col 59}{space 2} .0917056{col 70}{space 1}   -0.38{col 79}{space 3}0.706{col 87}{space 4}-.2156403{col 100}{space 3} .1462454
{txt}{space 42}nat {c |}{col 47}{res}{space 2} .2060627{col 59}{space 2} .1680501{col 70}{space 1}    1.23{col 79}{space 3}0.222{col 87}{space 4}-.1255142{col 100}{space 3} .5376396
{txt}{space 41}left {c |}{col 47}{res}{space 2} .3774179{col 59}{space 2} .3455756{col 70}{space 1}    1.09{col 79}{space 3}0.276{col 87}{space 4}-.3044318{col 100}{space 3} 1.059268
{txt}{space 42}rel {c |}{col 47}{res}{space 2}-.1515021{col 59}{space 2} .3712805{col 70}{space 1}   -0.41{col 79}{space 3}0.684{col 87}{space 4}-.8840698{col 100}{space 3} .5810656
{txt}{space 35}regimetype {c |}{col 47}{res}{space 2}  .348132{col 59}{space 2} .2413436{col 70}{space 1}    1.44{col 79}{space 3}0.151{col 87}{space 4}-.1280592{col 100}{space 3} .8243232
{txt}{space 36}territory {c |}{col 47}{res}{space 2} .1948274{col 59}{space 2}  .155727{col 70}{space 1}    1.25{col 79}{space 3}0.213{col 87}{space 4} -.112435{col 100}{space 3} .5020898
{txt}{space 35}kidnap_lag {c |}{col 47}{res}{space 2} .0158299{col 59}{space 2} .0069855{col 70}{space 1}    2.27{col 79}{space 3}0.025{col 87}{space 4} .0020469{col 100}{space 3} .0296129
{txt}{space 35}terror_lag {c |}{col 47}{res}{space 2}-.0011247{col 59}{space 2} .0023567{col 70}{space 1}   -0.48{col 79}{space 3}0.634{col 87}{space 4}-.0057748{col 100}{space 3} .0035253
{txt}{space 37}soft_lag {c |}{col 47}{res}{space 2} .0038275{col 59}{space 2} .0035291{col 70}{space 1}    1.08{col 79}{space 3}0.280{col 87}{space 4}-.0031357{col 100}{space 3} .0107907
{txt}{space 45} {c |}
{space 41}year {c |}
{space 40}1990  {c |}{col 47}{res}{space 2}    .3647{col 59}{space 2} .1869937{col 70}{space 1}    1.95{col 79}{space 3}0.053{col 87}{space 4}-.0042542{col 100}{space 3} .7336542
{txt}{space 40}1991  {c |}{col 47}{res}{space 2} .2463369{col 59}{space 2} .2281206{col 70}{space 1}    1.08{col 79}{space 3}0.282{col 87}{space 4}-.2037642{col 100}{space 3} .6964381
{txt}{space 40}1992  {c |}{col 47}{res}{space 2}-.1178506{col 59}{space 2} .2220841{col 70}{space 1}   -0.53{col 79}{space 3}0.596{col 87}{space 4}-.5560411{col 100}{space 3}   .32034
{txt}{space 40}1993  {c |}{col 47}{res}{space 2}-.2877424{col 59}{space 2} .2121342{col 70}{space 1}   -1.36{col 79}{space 3}0.177{col 87}{space 4} -.706301{col 100}{space 3} .1308161
{txt}{space 40}1994  {c |}{col 47}{res}{space 2}-.0300169{col 59}{space 2} .2405718{col 70}{space 1}   -0.12{col 79}{space 3}0.901{col 87}{space 4}-.5046854{col 100}{space 3} .4446515
{txt}{space 40}1995  {c |}{col 47}{res}{space 2}-.2449748{col 59}{space 2} .2074818{col 70}{space 1}   -1.18{col 79}{space 3}0.239{col 87}{space 4}-.6543539{col 100}{space 3} .1644043
{txt}{space 40}1996  {c |}{col 47}{res}{space 2}-.1259436{col 59}{space 2} .2403853{col 70}{space 1}   -0.52{col 79}{space 3}0.601{col 87}{space 4}-.6002439{col 100}{space 3} .3483567
{txt}{space 40}1997  {c |}{col 47}{res}{space 2}-.0480862{col 59}{space 2} .2683664{col 70}{space 1}   -0.18{col 79}{space 3}0.858{col 87}{space 4}-.5775956{col 100}{space 3} .4814232
{txt}{space 40}1998  {c |}{col 47}{res}{space 2}-.3041233{col 59}{space 2} .2398828{col 70}{space 1}   -1.27{col 79}{space 3}0.206{col 87}{space 4}-.7774322{col 100}{space 3} .1691857
{txt}{space 40}1999  {c |}{col 47}{res}{space 2}-.0083116{col 59}{space 2} .2627867{col 70}{space 1}   -0.03{col 79}{space 3}0.975{col 87}{space 4}-.5268119{col 100}{space 3} .5101887
{txt}{space 40}2000  {c |}{col 47}{res}{space 2} .0192361{col 59}{space 2} .2763389{col 70}{space 1}    0.07{col 79}{space 3}0.945{col 87}{space 4}-.5260038{col 100}{space 3}  .564476
{txt}{space 40}2001  {c |}{col 47}{res}{space 2} .0166532{col 59}{space 2} .2505541{col 70}{space 1}    0.07{col 79}{space 3}0.947{col 87}{space 4}-.4777112{col 100}{space 3} .5110175
{txt}{space 40}2002  {c |}{col 47}{res}{space 2}-.0481788{col 59}{space 2}  .256527{col 70}{space 1}   -0.19{col 79}{space 3}0.851{col 87}{space 4}-.5543281{col 100}{space 3} .4579705
{txt}{space 40}2003  {c |}{col 47}{res}{space 2}-.3658696{col 59}{space 2} .2384344{col 70}{space 1}   -1.53{col 79}{space 3}0.127{col 87}{space 4}-.8363208{col 100}{space 3} .1045816
{txt}{space 40}2004  {c |}{col 47}{res}{space 2}-.4429292{col 59}{space 2} .2380118{col 70}{space 1}   -1.86{col 79}{space 3}0.064{col 87}{space 4}-.9125464{col 100}{space 3}  .026688
{txt}{space 40}2005  {c |}{col 47}{res}{space 2}-.0565732{col 59}{space 2} .2592106{col 70}{space 1}   -0.22{col 79}{space 3}0.827{col 87}{space 4}-.5680175{col 100}{space 3}  .454871
{txt}{space 40}2006  {c |}{col 47}{res}{space 2}-.0326158{col 59}{space 2} .3024442{col 70}{space 1}   -0.11{col 79}{space 3}0.914{col 87}{space 4}-.6293636{col 100}{space 3}  .564132
{txt}{space 40}2007  {c |}{col 47}{res}{space 2}-.2103558{col 59}{space 2} .2204737{col 70}{space 1}   -0.95{col 79}{space 3}0.341{col 87}{space 4}-.6453689{col 100}{space 3} .2246573
{txt}{space 40}2008  {c |}{col 47}{res}{space 2} .2491396{col 59}{space 2} .2634685{col 70}{space 1}    0.95{col 79}{space 3}0.346{col 87}{space 4}-.2707059{col 100}{space 3}  .768985
{txt}{space 40}2009  {c |}{col 47}{res}{space 2}-.0252596{col 59}{space 2} .2705124{col 70}{space 1}   -0.09{col 79}{space 3}0.926{col 87}{space 4}-.5590033{col 100}{space 3} .5084842
{txt}{space 40}2010  {c |}{col 47}{res}{space 2}-.0441236{col 59}{space 2} .2694204{col 70}{space 1}   -0.16{col 79}{space 3}0.870{col 87}{space 4}-.5757127{col 100}{space 3} .4874655
{txt}{space 40}2011  {c |}{col 47}{res}{space 2} .0941411{col 59}{space 2}  .243176{col 70}{space 1}    0.39{col 79}{space 3}0.699{col 87}{space 4}-.3856656{col 100}{space 3} .5739477
{txt}{space 40}2012  {c |}{col 47}{res}{space 2} .1848262{col 59}{space 2} .2262704{col 70}{space 1}    0.82{col 79}{space 3}0.415{col 87}{space 4}-.2616244{col 100}{space 3} .6312768
{txt}{space 40}2013  {c |}{col 47}{res}{space 2} .4014624{col 59}{space 2} .2289198{col 70}{space 1}    1.75{col 79}{space 3}0.081{col 87}{space 4}-.0502155{col 100}{space 3} .8531403
{txt}{space 40}2014  {c |}{col 47}{res}{space 2} .5050623{col 59}{space 2} .2455243{col 70}{space 1}    2.06{col 79}{space 3}0.041{col 87}{space 4} .0206222{col 100}{space 3} .9895024
{txt}{space 40}2015  {c |}{col 47}{res}{space 2} .2654565{col 59}{space 2} .2431899{col 70}{space 1}    1.09{col 79}{space 3}0.276{col 87}{space 4}-.2143775{col 100}{space 3} .7452905
{txt}{space 40}2016  {c |}{col 47}{res}{space 2} .2751132{col 59}{space 2} .2291731{col 70}{space 1}    1.20{col 79}{space 3}0.232{col 87}{space 4}-.1770647{col 100}{space 3} .7272911
{txt}{space 40}2017  {c |}{col 47}{res}{space 2} .3186255{col 59}{space 2} .2398395{col 70}{space 1}    1.33{col 79}{space 3}0.186{col 87}{space 4}-.1545979{col 100}{space 3} .7918489
{txt}{space 40}2018  {c |}{col 47}{res}{space 2} .1849396{col 59}{space 2} .2561627{col 70}{space 1}    0.72{col 79}{space 3}0.471{col 87}{space 4}-.3204911{col 100}{space 3} .6903702
{txt}{space 45} {c |}
{space 38}panelid {c |}
{space 30}Afghanistan IS  {c |}{col 47}{res}{space 2} 1.187028{col 59}{space 2}  .247273{col 70}{space 1}    4.80{col 79}{space 3}0.000{col 87}{space 4} .6991381{col 100}{space 3} 1.674919
{txt}Afghanistan Jam'iyyat-i Islami-yi Afghanis..  {c |}{col 47}{res}{space 2}  1.03986{col 59}{space 2} .1821393{col 70}{space 1}    5.71{col 79}{space 3}0.000{col 87}{space 4} .6804842{col 100}{space 3} 1.399237
{txt}{space 25}Afghanistan Taleban  {c |}{col 47}{res}{space 2} 1.288227{col 59}{space 2} .3576507{col 70}{space 1}    3.60{col 79}{space 3}0.000{col 87}{space 4} .5825525{col 100}{space 3} 1.993902
{txt}{space 27}Afghanistan UIFSA  {c |}{col 47}{res}{space 2}-1.180536{col 59}{space 2} .4821649{col 70}{space 1}   -2.45{col 79}{space 3}0.015{col 87}{space 4}-2.131888{col 100}{space 3}-.2291843
{txt}{space 33}Algeria AIS  {c |}{col 47}{res}{space 2} .0765095{col 59}{space 2} .1723734{col 70}{space 1}    0.44{col 79}{space 3}0.658{col 87}{space 4}-.2635978{col 100}{space 3} .4166168
{txt}{space 32}Algeria AQIM  {c |}{col 47}{res}{space 2} -.112557{col 59}{space 2} .1113505{col 70}{space 1}   -1.01{col 79}{space 3}0.313{col 87}{space 4} -.332261{col 100}{space 3}  .107147
{txt}{space 33}Algeria GIA  {c |}{col 47}{res}{space 2} .0357776{col 59}{space 2} .1396425{col 70}{space 1}    0.26{col 79}{space 3}0.798{col 87}{space 4}-.2397488{col 100}{space 3} .3113041
{txt}{space 34}Algeria IS  {c |}{col 47}{res}{space 2} -1.14921{col 59}{space 2} .1960272{col 70}{space 1}   -5.86{col 79}{space 3}0.000{col 87}{space 4}-1.535988{col 100}{space 3}-.7624318
{txt}{space 31}Algeria MUJAO  {c |}{col 47}{res}{space 2} -.528138{col 59}{space 2} .1374167{col 70}{space 1}   -3.84{col 79}{space 3}0.000{col 87}{space 4}-.7992727{col 100}{space 3}-.2570033
{txt}{space 32}Angola UNITA  {c |}{col 47}{res}{space 2}-.3533257{col 59}{space 2} .3938437{col 70}{space 1}   -0.90{col 79}{space 3}0.371{col 87}{space 4}-1.130413{col 100}{space 3} .4237611
{txt}{space 31}Bangladesh IS  {c |}{col 47}{res}{space 2} -1.15519{col 59}{space 2} .2241134{col 70}{space 1}   -5.15{col 79}{space 3}0.000{col 87}{space 4}-1.597384{col 100}{space 3} -.712995
{txt}{space 27}Bangladesh JSS/SB  {c |}{col 47}{res}{space 2}  .006679{col 59}{space 2} .3883614{col 70}{space 1}    0.02{col 79}{space 3}0.986{col 87}{space 4}-.7595907{col 100}{space 3} .7729488
{txt}{space 29}Bangladesh PBCP  {c |}{col 47}{res}{space 2} -1.06153{col 59}{space 2} .5172651{col 70}{space 1}   -2.05{col 79}{space 3}0.042{col 87}{space 4}-2.082138{col 100}{space 3}-.0409226
{txt}{space 27}Bangladesh PBCP-J  {c |}{col 47}{res}{space 2}-1.085851{col 59}{space 2} .5173582{col 70}{space 1}   -2.10{col 79}{space 3}0.037{col 87}{space 4}-2.106642{col 100}{space 3}-.0650598
{txt}{space 32}Burundi CNDD  {c |}{col 47}{res}{space 2}-.3114068{col 59}{space 2} .3824976{col 70}{space 1}   -0.81{col 79}{space 3}0.417{col 87}{space 4}-1.066107{col 100}{space 3} .4432931
{txt}{space 33}Cambodia KR  {c |}{col 47}{res}{space 2} .1810578{col 59}{space 2} .5032196{col 70}{space 1}    0.36{col 79}{space 3}0.719{col 87}{space 4}-.8118367{col 100}{space 3} 1.173952
{txt}Cameroon Jama'atu Ahlis Sunna Lidda'awati ..  {c |}{col 47}{res}{space 2} 1.124413{col 59}{space 2} .2329249{col 70}{space 1}    4.83{col 79}{space 3}0.000{col 87}{space 4}  .664832{col 100}{space 3} 1.583993
{txt}{space 15}Central African Republic CPJP  {c |}{col 47}{res}{space 2}-1.058635{col 59}{space 2} .4138313{col 70}{space 1}   -2.56{col 79}{space 3}0.011{col 87}{space 4}-1.875159{col 100}{space 3}-.2421108
{txt}{space 13}Central African Republic Seleka  {c |}{col 47}{res}{space 2}  .241816{col 59}{space 2} .3877211{col 70}{space 1}    0.62{col 79}{space 3}0.534{col 87}{space 4}-.5231904{col 100}{space 3} 1.006822
{txt}Central African Republic UPC (Ali Darass ..)  {c |}{col 47}{res}{space 2} .1467282{col 59}{space 2} .3728486{col 70}{space 1}    0.39{col 79}{space 3}0.694{col 87}{space 4}-.5889335{col 100}{space 3} .8823899
{txt}{space 8}Central African Republic anti-Balaka  {c |}{col 47}{res}{space 2} .2614916{col 59}{space 2} .1353247{col 70}{space 1}    1.93{col 79}{space 3}0.055{col 87}{space 4}-.0055155{col 100}{space 3} .5284987
{txt}{space 35}Chad MDJT  {c |}{col 47}{res}{space 2}-.5817266{col 59}{space 2} .4366294{col 70}{space 1}   -1.33{col 79}{space 3}0.184{col 87}{space 4}-1.443233{col 100}{space 3}   .27978
{txt}{space 35}Chad UFDD  {c |}{col 47}{res}{space 2}-.4589379{col 59}{space 2} .3889876{col 70}{space 1}   -1.18{col 79}{space 3}0.240{col 87}{space 4}-1.226443{col 100}{space 3} .3085673
{txt}{space 32}Colombia ELN  {c |}{col 47}{res}{space 2} .8827535{col 59}{space 2} .5524509{col 70}{space 1}    1.60{col 79}{space 3}0.112{col 87}{space 4}-.2072787{col 100}{space 3} 1.972786
{txt}{space 32}Colombia EPL  {c |}{col 47}{res}{space 2} -.236059{col 59}{space 2} .5542529{col 70}{space 1}   -0.43{col 79}{space 3}0.671{col 87}{space 4}-1.329647{col 100}{space 3} .8575286
{txt}{space 31}Colombia FARC  {c |}{col 47}{res}{space 2} .7785991{col 59}{space 2} .6146728{col 70}{space 1}    1.27{col 79}{space 3}0.207{col 87}{space 4}-.4342021{col 100}{space 3}   1.9914
{txt}{space 20}Colombia FARC dissidents  {c |}{col 47}{res}{space 2} .7149164{col 59}{space 2}  .572953{col 70}{space 1}    1.25{col 79}{space 3}0.214{col 87}{space 4}-.4155681{col 100}{space 3} 1.845401
{txt}{space 31}Colombia M-19  {c |}{col 47}{res}{space 2}-.8022881{col 59}{space 2} .5785168{col 70}{space 1}   -1.39{col 79}{space 3}0.167{col 87}{space 4} -1.94375{col 100}{space 3} .3391741
{txt}{space 32}Congo Ninjas  {c |}{col 47}{res}{space 2}-.2876614{col 59}{space 2} .3867804{col 70}{space 1}   -0.74{col 79}{space 3}0.458{col 87}{space 4}-1.050812{col 100}{space 3} .4754887
{txt}{space 10}Democratic Republic of Congo APCLS  {c |}{col 47}{res}{space 2}-1.036228{col 59}{space 2} .3923652{col 70}{space 1}   -2.64{col 79}{space 3}0.009{col 87}{space 4}-1.810398{col 100}{space 3}-.2620589
{txt}{space 12}Democratic Republic of Congo BDK  {c |}{col 47}{res}{space 2}-.8101667{col 59}{space 2} .1496267{col 70}{space 1}   -5.41{col 79}{space 3}0.000{col 87}{space 4}-1.105393{col 100}{space 3}-.5149408
{txt}{space 2}Democratic Republic of Congo Kamuina Nsapu  {c |}{col 47}{res}{space 2}-1.459895{col 59}{space 2} .4046885{col 70}{space 1}   -3.61{col 79}{space 3}0.000{col 87}{space 4} -2.25838{col 100}{space 3} -.661411
{txt}{space 12}Democratic Republic of Congo M23  {c |}{col 47}{res}{space 2}-1.365375{col 59}{space 2} .4495967{col 70}{space 1}   -3.04{col 79}{space 3}0.003{col 87}{space 4}-2.252468{col 100}{space 3}-.4782835
{txt}{space 31}Djibouti FRUD  {c |}{col 47}{res}{space 2}-.2819919{col 59}{space 2} .4061588{col 70}{space 1}   -0.69{col 79}{space 3}0.488{col 87}{space 4}-1.083377{col 100}{space 3} .5193936
{txt}{space 18}Egypt Ansar Bayt al-Maqdis  {c |}{col 47}{res}{space 2} 2.266095{col 59}{space 2}  .182884{col 70}{space 1}   12.39{col 79}{space 3}0.000{col 87}{space 4} 1.905249{col 100}{space 3}  2.62694
{txt}{space 36}Egypt IS  {c |}{col 47}{res}{space 2} 1.327507{col 59}{space 2} .1799833{col 70}{space 1}    7.38{col 79}{space 3}0.000{col 87}{space 4} .9723846{col 100}{space 3} 1.682629
{txt}{space 16}Egypt al-Gama'a al-Islamiyya  {c |}{col 47}{res}{space 2}-.4094444{col 59}{space 2} .1060532{col 70}{space 1}   -3.86{col 79}{space 3}0.000{col 87}{space 4}-.6186962{col 100}{space 3}-.2001926
{txt}{space 28}El Salvador FMLN  {c |}{col 47}{res}{space 2}-1.012955{col 59}{space 2} .5502021{col 70}{space 1}   -1.84{col 79}{space 3}0.067{col 87}{space 4} -2.09855{col 100}{space 3}   .07264
{txt}{space 31}Ethiopia AIAI  {c |}{col 47}{res}{space 2}-.6594163{col 59}{space 2} .4900951{col 70}{space 1}   -1.35{col 79}{space 3}0.180{col 87}{space 4}-1.626415{col 100}{space 3} .3075824
{txt}{space 30}Ethiopia ARDUF  {c |}{col 47}{res}{space 2}-.2620147{col 59}{space 2} .3897979{col 70}{space 1}   -0.67{col 79}{space 3}0.502{col 87}{space 4}-1.031119{col 100}{space 3} .5070894
{txt}{space 32}Ethiopia ELF  {c |}{col 47}{res}{space 2}-.4258229{col 59}{space 2} .4149178{col 70}{space 1}   -1.03{col 79}{space 3}0.306{col 87}{space 4}-1.244491{col 100}{space 3} .3928448
{txt}{space 31}Ethiopia EPLF  {c |}{col 47}{res}{space 2}-.9865052{col 59}{space 2} .4362118{col 70}{space 1}   -2.26{col 79}{space 3}0.025{col 87}{space 4}-1.847188{col 100}{space 3}-.1258227
{txt}{space 31}Ethiopia EPRP  {c |}{col 47}{res}{space 2}-1.242692{col 59}{space 2} .5512146{col 70}{space 1}   -2.25{col 79}{space 3}0.025{col 87}{space 4}-2.330284{col 100}{space 3}-.1550989
{txt}{space 32}Ethiopia OLF  {c |}{col 47}{res}{space 2}-.6499097{col 59}{space 2} .3869914{col 70}{space 1}   -1.68{col 79}{space 3}0.095{col 87}{space 4}-1.413476{col 100}{space 3} .1136569
{txt}{space 31}Ethiopia ONLF  {c |}{col 47}{res}{space 2}-.7432628{col 59}{space 2} .3901641{col 70}{space 1}   -1.91{col 79}{space 3}0.058{col 87}{space 4}-1.513089{col 100}{space 3} .0265638
{txt}{space 31}Ethiopia TPLF  {c |}{col 47}{res}{space 2}-.6149294{col 59}{space 2} .3859504{col 70}{space 1}   -1.59{col 79}{space 3}0.113{col 87}{space 4}-1.376442{col 100}{space 3} .1465833
{txt}{space 31}Guatemala EGP  {c |}{col 47}{res}{space 2} -.472409{col 59}{space 2} .5488119{col 70}{space 1}   -0.86{col 79}{space 3}0.390{col 87}{space 4}-1.555261{col 100}{space 3}  .610443
{txt}{space 30}Guatemala ORPA  {c |}{col 47}{res}{space 2}-.8682415{col 59}{space 2} .5260902{col 70}{space 1}   -1.65{col 79}{space 3}0.101{col 87}{space 4}-1.906262{col 100}{space 3} .1697787
{txt}{space 30}Guatemala URNG  {c |}{col 47}{res}{space 2} -.422415{col 59}{space 2} .5269592{col 70}{space 1}   -0.80{col 79}{space 3}0.424{col 87}{space 4} -1.46215{col 100}{space 3} .6173199
{txt}{space 34}India ATTF  {c |}{col 47}{res}{space 2}-.6714045{col 59}{space 2} .4623422{col 70}{space 1}   -1.45{col 79}{space 3}0.148{col 87}{space 4}-1.583645{col 100}{space 3} .2408355
{txt}{space 28}India CPI-Maoist  {c |}{col 47}{res}{space 2} .7827767{col 59}{space 2} .5425301{col 70}{space 1}    1.44{col 79}{space 3}0.151{col 87}{space 4}-.2876809{col 100}{space 3} 1.853234
{txt}{space 34}India GNLA  {c |}{col 47}{res}{space 2} .9826292{col 59}{space 2} .4518499{col 70}{space 1}    2.17{col 79}{space 3}0.031{col 87}{space 4} .0910914{col 100}{space 3} 1.874167
{txt}{space 35}India KCP  {c |}{col 47}{res}{space 2} -1.03349{col 59}{space 2} .4500371{col 70}{space 1}   -2.30{col 79}{space 3}0.023{col 87}{space 4}-1.921452{col 100}{space 3}-.1455293
{txt}{space 35}India KNF  {c |}{col 47}{res}{space 2}-.8181204{col 59}{space 2}  .472886{col 70}{space 1}   -1.73{col 79}{space 3}0.085{col 87}{space 4}-1.751164{col 100}{space 3} .1149235
{txt}{space 20}India Kashmir insurgents  {c |}{col 47}{res}{space 2}-.5576449{col 59}{space 2} .4748094{col 70}{space 1}   -1.17{col 79}{space 3}0.242{col 87}{space 4}-1.494484{col 100}{space 3} .3791939
{txt}{space 35}India MCC  {c |}{col 47}{res}{space 2} -1.15926{col 59}{space 2} .5614206{col 70}{space 1}   -2.06{col 79}{space 3}0.040{col 87}{space 4} -2.26699{col 100}{space 3}-.0515299
{txt}{space 34}India NDFB  {c |}{col 47}{res}{space 2}-.3832804{col 59}{space 2} .4480894{col 70}{space 1}   -0.86{col 79}{space 3}0.393{col 87}{space 4}-1.267398{col 100}{space 3} .5008376
{txt}{space 34}India NLFT  {c |}{col 47}{res}{space 2} .0518902{col 59}{space 2}  .465667{col 70}{space 1}    0.11{col 79}{space 3}0.911{col 87}{space 4}  -.86691{col 100}{space 3} .9706904
{txt}{space 31}India NSCN-IM  {c |}{col 47}{res}{space 2}-.2510882{col 59}{space 2} .4648177{col 70}{space 1}   -0.54{col 79}{space 3}0.590{col 87}{space 4}-1.168213{col 100}{space 3} .6660362
{txt}{space 35}India PLA  {c |}{col 47}{res}{space 2}-.9265844{col 59}{space 2} .4503777{col 70}{space 1}   -2.06{col 79}{space 3}0.041{col 87}{space 4}-1.815217{col 100}{space 3}-.0379513
{txt}{space 32}India PREPAK  {c |}{col 47}{res}{space 2}-.9667323{col 59}{space 2} .4516237{col 70}{space 1}   -2.14{col 79}{space 3}0.034{col 87}{space 4}-1.857824{col 100}{space 3}-.0756409
{txt}{space 35}India PWG  {c |}{col 47}{res}{space 2}-1.005372{col 59}{space 2} .5498941{col 70}{space 1}   -1.83{col 79}{space 3}0.069{col 87}{space 4} -2.09036{col 100}{space 3}  .079615
{txt}{space 34}India ULFA  {c |}{col 47}{res}{space 2} -.588212{col 59}{space 2} .4952735{col 70}{space 1}   -1.19{col 79}{space 3}0.237{col 87}{space 4}-1.565428{col 100}{space 3} .3890043
{txt}{space 34}India UNLF  {c |}{col 47}{res}{space 2}-1.287343{col 59}{space 2}  .467113{col 70}{space 1}   -2.76{col 79}{space 3}0.006{col 87}{space 4}-2.208996{col 100}{space 3}-.3656893
{txt}{space 26}Indonesia Fretilin  {c |}{col 47}{res}{space 2}-.5339087{col 59}{space 2} .4961814{col 70}{space 1}   -1.08{col 79}{space 3}0.283{col 87}{space 4}-1.512916{col 100}{space 3} .4450989
{txt}{space 31}Indonesia GAM  {c |}{col 47}{res}{space 2}-.2344018{col 59}{space 2} .3772502{col 70}{space 1}   -0.62{col 79}{space 3}0.535{col 87}{space 4}-.9787481{col 100}{space 3} .5099446
{txt}{space 31}Indonesia OPM  {c |}{col 47}{res}{space 2}-.0991014{col 59}{space 2} .3739194{col 70}{space 1}   -0.27{col 79}{space 3}0.791{col 87}{space 4}-.8368759{col 100}{space 3} .6386731
{txt}{space 30}Iran Jondullah  {c |}{col 47}{res}{space 2} .1089074{col 59}{space 2} .3883699{col 70}{space 1}    0.28{col 79}{space 3}0.779{col 87}{space 4}-.6573791{col 100}{space 3} .8751939
{txt}{space 35}Iran KDPI  {c |}{col 47}{res}{space 2} -1.14625{col 59}{space 2}  .416723{col 70}{space 1}   -2.75{col 79}{space 3}0.007{col 87}{space 4} -1.96848{col 100}{space 3}-.3240207
{txt}{space 36}Iran MEK  {c |}{col 47}{res}{space 2}-.6218686{col 59}{space 2} .5200731{col 70}{space 1}   -1.20{col 79}{space 3}0.233{col 87}{space 4}-1.648017{col 100}{space 3} .4042794
{txt}{space 35}Iran PJAK  {c |}{col 47}{res}{space 2}-.9016697{col 59}{space 2} .3999738{col 70}{space 1}   -2.25{col 79}{space 3}0.025{col 87}{space 4}-1.690852{col 100}{space 3}-.1124877
{txt}{space 25}Iraq Ansar al-Islam  {c |}{col 47}{res}{space 2} .1156997{col 59}{space 2} .0643392{col 70}{space 1}    1.80{col 79}{space 3}0.074{col 87}{space 4}-.0112468{col 100}{space 3} .2426463
{txt}{space 37}Iraq IS  {c |}{col 47}{res}{space 2} .2034101{col 59}{space 2} .2661136{col 70}{space 1}    0.76{col 79}{space 3}0.446{col 87}{space 4}-.3216543{col 100}{space 3} .7284746
{txt}{space 36}Iraq KDP  {c |}{col 47}{res}{space 2}-.6937229{col 59}{space 2} .3800511{col 70}{space 1}   -1.83{col 79}{space 3}0.070{col 87}{space 4}-1.443596{col 100}{space 3} .0561499
{txt}{space 36}Iraq PUK  {c |}{col 47}{res}{space 2}-1.431153{col 59}{space 2} .4278782{col 70}{space 1}   -3.34{col 79}{space 3}0.001{col 87}{space 4}-2.275392{col 100}{space 3} -.586913
{txt}{space 34}Iraq SCIRI  {c |}{col 47}{res}{space 2}-.0080344{col 59}{space 2} .1219342{col 70}{space 1}   -0.07{col 79}{space 3}0.948{col 87}{space 4}-.2486208{col 100}{space 3} .2325519
{txt}{space 26}Iraq al-Mahdi Army  {c |}{col 47}{res}{space 2}-.9565581{col 59}{space 2} .4083562{col 70}{space 1}   -2.34{col 79}{space 3}0.020{col 87}{space 4}-1.762279{col 100}{space 3} -.150837
{txt}{space 34}Israel AMB  {c |}{col 47}{res}{space 2}-.9281272{col 59}{space 2} .4552893{col 70}{space 1}   -2.04{col 79}{space 3}0.043{col 87}{space 4}-1.826451{col 100}{space 3}-.0298031
{txt}{space 32}Israel Fatah  {c |}{col 47}{res}{space 2}-1.196357{col 59}{space 2} .4756285{col 70}{space 1}   -2.52{col 79}{space 3}0.013{col 87}{space 4}-2.134812{col 100}{space 3}-.2579023
{txt}{space 32}Israel Hamas  {c |}{col 47}{res}{space 2}-.9387552{col 59}{space 2} .4501888{col 70}{space 1}   -2.09{col 79}{space 3}0.038{col 87}{space 4}-1.827016{col 100}{space 3}-.0504948
{txt}{space 28}Israel Hezbollah  {c |}{col 47}{res}{space 2}-.5397432{col 59}{space 2} .3437058{col 70}{space 1}   -1.57{col 79}{space 3}0.118{col 87}{space 4}-1.217904{col 100}{space 3} .1384173
{txt}{space 33}Israel PFLP  {c |}{col 47}{res}{space 2} -.988206{col 59}{space 2} .4470989{col 70}{space 1}   -2.21{col 79}{space 3}0.028{col 87}{space 4} -1.87037{col 100}{space 3}-.1060422
{txt}{space 34}Israel PIJ  {c |}{col 47}{res}{space 2} -.805657{col 59}{space 2}  .314321{col 70}{space 1}   -2.56{col 79}{space 3}0.011{col 87}{space 4}-1.425839{col 100}{space 3}-.1854752
{txt}{space 34}Israel PLO  {c |}{col 47}{res}{space 2}-1.141841{col 59}{space 2} .4815175{col 70}{space 1}   -2.37{col 79}{space 3}0.019{col 87}{space 4}-2.091916{col 100}{space 3}-.1917665
{txt}{space 34}Israel PRC  {c |}{col 47}{res}{space 2}-.7172443{col 59}{space 2} .2557982{col 70}{space 1}   -2.80{col 79}{space 3}0.006{col 87}{space 4}-1.221956{col 100}{space 3} -.212533
{txt}{space 28}Kenya Al-Shabaab  {c |}{col 47}{res}{space 2} .8532303{col 59}{space 2}   .13282{col 70}{space 1}    6.42{col 79}{space 3}0.000{col 87}{space 4} .5911652{col 100}{space 3} 1.115295
{txt}{space 32}Lebanon Amal  {c |}{col 47}{res}{space 2}-.8292709{col 59}{space 2} .3993589{col 70}{space 1}   -2.08{col 79}{space 3}0.039{col 87}{space 4}-1.617239{col 100}{space 3}-.0413022
{txt}{space 33}Lebanon NUF  {c |}{col 47}{res}{space 2}-1.333297{col 59}{space 2} .4263744{col 70}{space 1}   -3.13{col 79}{space 3}0.002{col 87}{space 4} -2.17457{col 100}{space 3}-.4920246
{txt}{space 32}Liberia LURD  {c |}{col 47}{res}{space 2} .0305942{col 59}{space 2} .4230045{col 70}{space 1}    0.07{col 79}{space 3}0.942{col 87}{space 4}-.8040293{col 100}{space 3} .8652177
{txt}{space 32}Liberia NPFL  {c |}{col 47}{res}{space 2}-.0912729{col 59}{space 2} .4028336{col 70}{space 1}   -0.23{col 79}{space 3}0.821{col 87}{space 4}-.8860975{col 100}{space 3} .7035518
{txt}{space 35}Libya ASL  {c |}{col 47}{res}{space 2}-.1244929{col 59}{space 2}  .119683{col 70}{space 1}   -1.04{col 79}{space 3}0.300{col 87}{space 4}-.3606375{col 100}{space 3} .1116517
{txt}{space 36}Libya IS  {c |}{col 47}{res}{space 2} 1.466843{col 59}{space 2} .2969726{col 70}{space 1}    4.94{col 79}{space 3}0.000{col 87}{space 4} .8808912{col 100}{space 3} 2.052795
{txt}{space 35}Mali AQIM  {c |}{col 47}{res}{space 2}-.3100487{col 59}{space 2} .2702527{col 70}{space 1}   -1.15{col 79}{space 3}0.253{col 87}{space 4}-.8432801{col 100}{space 3} .2231827
{txt}{space 29}Mali Ansar Dine  {c |}{col 47}{res}{space 2}-.9235865{col 59}{space 2} .2474986{col 70}{space 1}   -3.73{col 79}{space 3}0.000{col 87}{space 4}-1.411922{col 100}{space 3} -.435251
{txt}{space 36}Mali CMA  {c |}{col 47}{res}{space 2} -.543002{col 59}{space 2} .4506294{col 70}{space 1}   -1.20{col 79}{space 3}0.230{col 87}{space 4}-1.432132{col 100}{space 3} .3461277
{txt}{space 36}Mali FLM  {c |}{col 47}{res}{space 2} .2010656{col 59}{space 2} .2628757{col 70}{space 1}    0.76{col 79}{space 3}0.445{col 87}{space 4}-.3176103{col 100}{space 3} .7197416
{txt}{space 37}Mali IS  {c |}{col 47}{res}{space 2} -.235639{col 59}{space 2} .3774615{col 70}{space 1}   -0.62{col 79}{space 3}0.533{col 87}{space 4}-.9804022{col 100}{space 3} .5091242
{txt}{space 35}Mali JNIM  {c |}{col 47}{res}{space 2} 1.180691{col 59}{space 2} .3354875{col 70}{space 1}    3.52{col 79}{space 3}0.001{col 87}{space 4} .5187461{col 100}{space 3} 1.842636
{txt}{space 34}Mali MUJAO  {c |}{col 47}{res}{space 2}-.0477787{col 59}{space 2} .2600865{col 70}{space 1}   -0.18{col 79}{space 3}0.854{col 87}{space 4}-.5609513{col 100}{space 3} .4653939
{txt}{space 14}Mali Signed-in-Blood Battalion  {c |}{col 47}{res}{space 2}-.7512717{col 59}{space 2}  .291502{col 70}{space 1}   -2.58{col 79}{space 3}0.011{col 87}{space 4} -1.32643{col 100}{space 3}-.1761136
{txt}{space 29}Mauritania AQIM  {c |}{col 47}{res}{space 2} .0456378{col 59}{space 2}  .140707{col 70}{space 1}    0.32{col 79}{space 3}0.746{col 87}{space 4}-.2319889{col 100}{space 3} .3232645
{txt}{space 34}Mexico EPR  {c |}{col 47}{res}{space 2}-.6161249{col 59}{space 2} .4997403{col 70}{space 1}   -1.23{col 79}{space 3}0.219{col 87}{space 4}-1.602155{col 100}{space 3} .3699047
{txt}{space 33}Mexico EZLN  {c |}{col 47}{res}{space 2}-.4817228{col 59}{space 2} .4641577{col 70}{space 1}   -1.04{col 79}{space 3}0.301{col 87}{space 4}-1.397545{col 100}{space 3} .4340994
{txt}{space 27}Mozambique Renamo  {c |}{col 47}{res}{space 2}-.2546932{col 59}{space 2} .3803187{col 70}{space 1}   -0.67{col 79}{space 3}0.504{col 87}{space 4}-1.005094{col 100}{space 3} .4957075
{txt}{space 31}Myanmar ABSDF  {c |}{col 47}{res}{space 2}-.5073995{col 59}{space 2} .5150672{col 70}{space 1}   -0.99{col 79}{space 3}0.326{col 87}{space 4} -1.52367{col 100}{space 3} .5088715
{txt}{space 32}Myanmar ARSA  {c |}{col 47}{res}{space 2}-.3430688{col 59}{space 2} .1804085{col 70}{space 1}   -1.90{col 79}{space 3}0.059{col 87}{space 4}  -.69903{col 100}{space 3} .0128924
{txt}{space 33}Myanmar CPB  {c |}{col 47}{res}{space 2} -.667728{col 59}{space 2} .5469773{col 70}{space 1}   -1.22{col 79}{space 3}0.224{col 87}{space 4} -1.74696{col 100}{space 3} .4115042
{txt}{space 30}Myanmar DKBA 5  {c |}{col 47}{res}{space 2}-.5536536{col 59}{space 2} .3923765{col 70}{space 1}   -1.41{col 79}{space 3}0.160{col 87}{space 4}-1.327845{col 100}{space 3} .2205382
{txt}{space 33}Myanmar KIO  {c |}{col 47}{res}{space 2}-.7217408{col 59}{space 2} .3906251{col 70}{space 1}   -1.85{col 79}{space 3}0.066{col 87}{space 4}-1.492477{col 100}{space 3} .0489954
{txt}{space 32}Myanmar KNPP  {c |}{col 47}{res}{space 2}-.8492538{col 59}{space 2} .3946678{col 70}{space 1}   -2.15{col 79}{space 3}0.033{col 87}{space 4}-1.627967{col 100}{space 3} -.070541
{txt}{space 33}Myanmar KNU  {c |}{col 47}{res}{space 2}-.8427186{col 59}{space 2} .3972328{col 70}{space 1}   -2.12{col 79}{space 3}0.035{col 87}{space 4}-1.626492{col 100}{space 3}-.0589449
{txt}{space 33}Myanmar MTA  {c |}{col 47}{res}{space 2}-.8837472{col 59}{space 2} .3979865{col 70}{space 1}   -2.22{col 79}{space 3}0.028{col 87}{space 4}-1.669008{col 100}{space 3}-.0984862
{txt}{space 32}Myanmar RCSS  {c |}{col 47}{res}{space 2} -1.14089{col 59}{space 2} .4133305{col 70}{space 1}   -2.76{col 79}{space 3}0.006{col 87}{space 4}-1.956426{col 100}{space 3}-.3253541
{txt}{space 33}Myanmar RSO  {c |}{col 47}{res}{space 2}-1.151958{col 59}{space 2} .4064053{col 70}{space 1}   -2.83{col 79}{space 3}0.005{col 87}{space 4} -1.95383{col 100}{space 3}-.3500867
{txt}{space 33}Myanmar SSA  {c |}{col 47}{res}{space 2} -.951055{col 59}{space 2} .4104793{col 70}{space 1}   -2.32{col 79}{space 3}0.022{col 87}{space 4}-1.760965{col 100}{space 3}-.1411449
{txt}{space 32}Myanmar UWSA  {c |}{col 47}{res}{space 2} 1.369999{col 59}{space 2} .4282884{col 70}{space 1}    3.20{col 79}{space 3}0.002{col 87}{space 4} .5249502{col 100}{space 3} 2.215048
{txt}{space 33}Nepal CPN-M  {c |}{col 47}{res}{space 2}-1.194538{col 59}{space 2} .5412718{col 70}{space 1}   -2.21{col 79}{space 3}0.029{col 87}{space 4}-2.262513{col 100}{space 3}-.1265631
{txt}{space 30}Nicaragua FSLN  {c |}{col 47}{res}{space 2} -.604648{col 59}{space 2} .4969106{col 70}{space 1}   -1.22{col 79}{space 3}0.225{col 87}{space 4}-1.585094{col 100}{space 3} .3757984
{txt}{space 35}Niger FDR  {c |}{col 47}{res}{space 2}-.6047826{col 59}{space 2}  .427264{col 70}{space 1}   -1.42{col 79}{space 3}0.159{col 87}{space 4} -1.44781{col 100}{space 3} .2382451
{txt}{space 36}Niger IS  {c |}{col 47}{res}{space 2}-.7035052{col 59}{space 2}  .215314{col 70}{space 1}   -3.27{col 79}{space 3}0.001{col 87}{space 4}-1.128338{col 100}{space 3}-.2786726
{txt}{space 35}Niger MNJ  {c |}{col 47}{res}{space 2} 1.085416{col 59}{space 2} .4150458{col 70}{space 1}    2.62{col 79}{space 3}0.010{col 87}{space 4}  .266496{col 100}{space 3} 1.904337
{txt}Nigeria Jama'atu Ahlis Sunna Lidda'awati w..  {c |}{col 47}{res}{space 2} .9715614{col 59}{space 2} .2414479{col 70}{space 1}    4.02{col 79}{space 3}0.000{col 87}{space 4} .4951644{col 100}{space 3} 1.447958
{txt}{space 32}Pakistan BLA  {c |}{col 47}{res}{space 2}-.0594544{col 59}{space 2} .3987721{col 70}{space 1}   -0.15{col 79}{space 3}0.882{col 87}{space 4}-.8462653{col 100}{space 3} .7273564
{txt}{space 32}Pakistan BLF  {c |}{col 47}{res}{space 2} .2407661{col 59}{space 2} .3912371{col 70}{space 1}    0.62{col 79}{space 3}0.539{col 87}{space 4}-.5311776{col 100}{space 3}  1.01271
{txt}{space 32}Pakistan BRA  {c |}{col 47}{res}{space 2}-.5093171{col 59}{space 2} .3994108{col 70}{space 1}   -1.28{col 79}{space 3}0.204{col 87}{space 4}-1.297388{col 100}{space 3}  .278754
{txt}{space 33}Pakistan IS  {c |}{col 47}{res}{space 2}-.8254201{col 59}{space 2} .1894655{col 70}{space 1}   -4.36{col 79}{space 3}0.000{col 87}{space 4}-1.199251{col 100}{space 3}-.4515888
{txt}{space 20}Pakistan Jamaat-ul-Ahrar  {c |}{col 47}{res}{space 2}-.0435245{col 59}{space 2}  .185656{col 70}{space 1}   -0.23{col 79}{space 3}0.815{col 87}{space 4}-.4098393{col 100}{space 3} .3227904
{txt}{space 20}Pakistan Lashkar-e-Islam  {c |}{col 47}{res}{space 2} .2505829{col 59}{space 2} .1796392{col 70}{space 1}    1.39{col 79}{space 3}0.165{col 87}{space 4}-.1038604{col 100}{space 3} .6050261
{txt}{space 32}Pakistan MQM  {c |}{col 47}{res}{space 2}-.7586831{col 59}{space 2} .3922208{col 70}{space 1}   -1.93{col 79}{space 3}0.055{col 87}{space 4}-1.532568{col 100}{space 3} .0152015
{txt}{space 32}Pakistan TTP  {c |}{col 47}{res}{space 2}  1.25841{col 59}{space 2} .2128607{col 70}{space 1}    5.91{col 79}{space 3}0.000{col 87}{space 4} .8384183{col 100}{space 3} 1.678402
{txt}{space 32}Pakistan UBA  {c |}{col 47}{res}{space 2}-.3854623{col 59}{space 2} .3852633{col 70}{space 1}   -1.00{col 79}{space 3}0.318{col 87}{space 4}-1.145619{col 100}{space 3} .3746945
{txt}{space 24}Papua New Guinea BRA  {c |}{col 47}{res}{space 2} -.550545{col 59}{space 2} .3896694{col 70}{space 1}   -1.41{col 79}{space 3}0.159{col 87}{space 4}-1.319395{col 100}{space 3} .2183055
{txt}{space 35}Peru MRTA  {c |}{col 47}{res}{space 2} -.228701{col 59}{space 2} .5119768{col 70}{space 1}   -0.45{col 79}{space 3}0.656{col 87}{space 4}-1.238874{col 100}{space 3} .7814722
{txt}{space 23}Peru Sendero Luminoso  {c |}{col 47}{res}{space 2}-.5757967{col 59}{space 2} .4981529{col 70}{space 1}   -1.16{col 79}{space 3}0.249{col 87}{space 4}-1.558694{col 100}{space 3} .4071008
{txt}{space 29}Philippines ASG  {c |}{col 47}{res}{space 2} 1.220845{col 59}{space 2} .3572348{col 70}{space 1}    3.42{col 79}{space 3}0.001{col 87}{space 4} .5159908{col 100}{space 3} 1.925699
{txt}{space 28}Philippines BIFM  {c |}{col 47}{res}{space 2}-.3326704{col 59}{space 2} .2853572{col 70}{space 1}   -1.17{col 79}{space 3}0.245{col 87}{space 4}-.8957042{col 100}{space 3} .2303634
{txt}{space 29}Philippines CPP  {c |}{col 47}{res}{space 2}-.0337078{col 59}{space 2} .6194103{col 70}{space 1}   -0.05{col 79}{space 3}0.957{col 87}{space 4}-1.255856{col 100}{space 3} 1.188441
{txt}{space 28}Philippines MILF  {c |}{col 47}{res}{space 2} .1432136{col 59}{space 2} .3586508{col 70}{space 1}    0.40{col 79}{space 3}0.690{col 87}{space 4}-.5644346{col 100}{space 3} .8508617
{txt}{space 28}Philippines MNLF  {c |}{col 47}{res}{space 2}-.3670797{col 59}{space 2} .4850804{col 70}{space 1}   -0.76{col 79}{space 3}0.450{col 87}{space 4}-1.324184{col 100}{space 3} .5900247
{txt}{space 21}Philippines Maute group  {c |}{col 47}{res}{space 2} .2754157{col 59}{space 2} .2612269{col 70}{space 1}    1.05{col 79}{space 3}0.293{col 87}{space 4}-.2400069{col 100}{space 3} .7908383
{txt}{space 9}Russia Chechen Republic of Ichkeria  {c |}{col 47}{res}{space 2}-1.095826{col 59}{space 2} .4595095{col 70}{space 1}   -2.38{col 79}{space 3}0.018{col 87}{space 4}-2.002477{col 100}{space 3}-.1891746
{txt}{space 7}Russia Forces of the Caucasus Emirate  {c |}{col 47}{res}{space 2}-.8425121{col 59}{space 2} .3284095{col 70}{space 1}   -2.57{col 79}{space 3}0.011{col 87}{space 4}-1.490492{col 100}{space 3}-.1945325
{txt}{space 35}Russia IS  {c |}{col 47}{res}{space 2}-1.211508{col 59}{space 2} .2011291{col 70}{space 1}   -6.02{col 79}{space 3}0.000{col 87}{space 4}-1.608352{col 100}{space 3}-.8146633
{txt}{space 33}Rwanda FDLR  {c |}{col 47}{res}{space 2} -.973658{col 59}{space 2} .3980678{col 70}{space 1}   -2.45{col 79}{space 3}0.015{col 87}{space 4}-1.759079{col 100}{space 3}-.1882367
{txt}{space 34}Rwanda FPR  {c |}{col 47}{res}{space 2}-.5363092{col 59}{space 2} .3657681{col 70}{space 1}   -1.47{col 79}{space 3}0.144{col 87}{space 4}   -1.258{col 100}{space 3} .1853821
{txt}{space 32}Senegal MFDC  {c |}{col 47}{res}{space 2}-.8760679{col 59}{space 2} .4208259{col 70}{space 1}   -2.08{col 79}{space 3}0.039{col 87}{space 4}-1.706393{col 100}{space 3}-.0457431
{txt}{space 28}Sierra Leone RUF  {c |}{col 47}{res}{space 2} .6624204{col 59}{space 2} .4170196{col 70}{space 1}    1.59{col 79}{space 3}0.114{col 87}{space 4}-.1603943{col 100}{space 3} 1.485235
{txt}{space 29}Somalia ARS/UIC  {c |}{col 47}{res}{space 2}   .47901{col 59}{space 2}  .114456{col 70}{space 1}    4.19{col 79}{space 3}0.000{col 87}{space 4} .2531786{col 100}{space 3} .7048413
{txt}{space 26}Somalia Al-Shabaab  {c |}{col 47}{res}{space 2} 1.345435{col 59}{space 2} .2567772{col 70}{space 1}    5.24{col 79}{space 3}0.000{col 87}{space 4} .8387922{col 100}{space 3} 1.852078
{txt}{space 24}Somalia Hizbul Islam  {c |}{col 47}{res}{space 2} .8608335{col 59}{space 2} .1604347{col 70}{space 1}    5.37{col 79}{space 3}0.000{col 87}{space 4} .5442823{col 100}{space 3} 1.177385
{txt}{space 33}Somalia SNM  {c |}{col 47}{res}{space 2}-.6456896{col 59}{space 2}  .414085{col 70}{space 1}   -1.56{col 79}{space 3}0.121{col 87}{space 4}-1.462714{col 100}{space 3} .1713349
{txt}{space 28}South Africa ANC  {c |}{col 47}{res}{space 2} -.623675{col 59}{space 2} .4164317{col 70}{space 1}   -1.50{col 79}{space 3}0.136{col 87}{space 4} -1.44533{col 100}{space 3} .1979798
{txt}{space 12}South Sudan SPLM/A In Opposition  {c |}{col 47}{res}{space 2} 1.612247{col 59}{space 2} .3863553{col 70}{space 1}    4.17{col 79}{space 3}0.000{col 87}{space 4} .8499355{col 100}{space 3} 2.374558
{txt}{space 35}Spain ETA  {c |}{col 47}{res}{space 2} -.550822{col 59}{space 2} .4546694{col 70}{space 1}   -1.21{col 79}{space 3}0.227{col 87}{space 4}-1.447923{col 100}{space 3} .3462789
{txt}{space 29}Sri Lanka EPRLF  {c |}{col 47}{res}{space 2}-1.572227{col 59}{space 2} .4743309{col 70}{space 1}   -3.31{col 79}{space 3}0.001{col 87}{space 4}-2.508122{col 100}{space 3}-.6363328
{txt}{space 31}Sri Lanka JVP  {c |}{col 47}{res}{space 2}-.6870526{col 59}{space 2} .5153262{col 70}{space 1}   -1.33{col 79}{space 3}0.184{col 87}{space 4}-1.703834{col 100}{space 3} .3297293
{txt}{space 30}Sri Lanka LTTE  {c |}{col 47}{res}{space 2}-.5664872{col 59}{space 2} .4765203{col 70}{space 1}   -1.19{col 79}{space 3}0.236{col 87}{space 4}-1.506702{col 100}{space 3} .3737274
{txt}{space 30}Sri Lanka TELO  {c |}{col 47}{res}{space 2}-1.169983{col 59}{space 2} .4672535{col 70}{space 1}   -2.50{col 79}{space 3}0.013{col 87}{space 4}-2.091913{col 100}{space 3}-.2480525
{txt}{space 35}Sudan JEM  {c |}{col 47}{res}{space 2} -.080962{col 59}{space 2} .4540395{col 70}{space 1}   -0.18{col 79}{space 3}0.859{col 87}{space 4}-.9768201{col 100}{space 3} .8148961
{txt}{space 33}Sudan SLM/A  {c |}{col 47}{res}{space 2}-.4763038{col 59}{space 2} .4053767{col 70}{space 1}   -1.17{col 79}{space 3}0.242{col 87}{space 4}-1.276146{col 100}{space 3} .3235384
{txt}{space 28}Sudan SLM/A - MM  {c |}{col 47}{res}{space 2}-.3758146{col 59}{space 2}  .390623{col 70}{space 1}   -0.96{col 79}{space 3}0.337{col 87}{space 4}-1.146547{col 100}{space 3} .3949174
{txt}{space 32}Sudan SPLM/A  {c |}{col 47}{res}{space 2}-.5921348{col 59}{space 2}  .430131{col 70}{space 1}   -1.38{col 79}{space 3}0.170{col 87}{space 4}-1.440819{col 100}{space 3} .2565498
{txt}{space 26}Sudan SPLM/A-North  {c |}{col 47}{res}{space 2}-.5772952{col 59}{space 2} .3933094{col 70}{space 1}   -1.47{col 79}{space 3}0.144{col 87}{space 4}-1.353328{col 100}{space 3} .1987373
{txt}{space 36}Syria IS  {c |}{col 47}{res}{space 2}  1.24022{col 59}{space 2} .2790324{col 70}{space 1}    4.44{col 79}{space 3}0.000{col 87}{space 4} .6896651{col 100}{space 3} 1.790774
{txt}{space 21}Syria Syrian insurgents  {c |}{col 47}{res}{space 2}-.0861533{col 59}{space 2} .4521933{col 70}{space 1}   -0.19{col 79}{space 3}0.849{col 87}{space 4}-.9783688{col 100}{space 3} .8060622
{txt}{space 18}Thailand Patani insurgents  {c |}{col 47}{res}{space 2}-.7007124{col 59}{space 2} .3748496{col 70}{space 1}   -1.87{col 79}{space 3}0.063{col 87}{space 4}-1.440322{col 100}{space 3} .0388974
{txt}{space 25}Turkey Devrimci Sol  {c |}{col 47}{res}{space 2}-1.059498{col 59}{space 2} .5413155{col 70}{space 1}   -1.96{col 79}{space 3}0.052{col 87}{space 4}-2.127559{col 100}{space 3} .0085629
{txt}{space 34}Turkey PKK  {c |}{col 47}{res}{space 2}-.0422887{col 59}{space 2}   .47071{col 70}{space 1}   -0.09{col 79}{space 3}0.929{col 87}{space 4}-.9710392{col 100}{space 3} .8864617
{txt}{space 34}Turkey TAK  {c |}{col 47}{res}{space 2}-.8972699{col 59}{space 2} .4726344{col 70}{space 1}   -1.90{col 79}{space 3}0.059{col 87}{space 4}-1.829817{col 100}{space 3} .0352776
{txt}{space 34}Uganda ADF  {c |}{col 47}{res}{space 2}-.3490891{col 59}{space 2} .0874905{col 70}{space 1}   -3.99{col 79}{space 3}0.000{col 87}{space 4}-.5217153{col 100}{space 3} -.176463
{txt}{space 34}Uganda HSM  {c |}{col 47}{res}{space 2} -.325212{col 59}{space 2} .2052879{col 70}{space 1}   -1.58{col 79}{space 3}0.115{col 87}{space 4}-.7302623{col 100}{space 3} .0798382
{txt}{space 34}Uganda LRA  {c |}{col 47}{res}{space 2} .6838538{col 59}{space 2} .1372672{col 70}{space 1}    4.98{col 79}{space 3}0.000{col 87}{space 4} .4130141{col 100}{space 3} .9546935
{txt}{space 34}Uganda UPA  {c |}{col 47}{res}{space 2}-1.643036{col 59}{space 2}  .433376{col 70}{space 1}   -3.79{col 79}{space 3}0.000{col 87}{space 4}-2.498124{col 100}{space 3}-.7879491
{txt}{space 33}Ukraine DPR  {c |}{col 47}{res}{space 2}-.1045186{col 59}{space 2} .5046572{col 70}{space 1}   -0.21{col 79}{space 3}0.836{col 87}{space 4} -1.10025{col 100}{space 3} .8912125
{txt}{space 33}Ukraine LPR  {c |}{col 47}{res}{space 2}-.3477907{col 59}{space 2} .4447494{col 70}{space 1}   -0.78{col 79}{space 3}0.435{col 87}{space 4}-1.225319{col 100}{space 3} .5297374
{txt}{space 25}United Kingdom PIRA  {c |}{col 47}{res}{space 2}-.8941537{col 59}{space 2} .4507267{col 70}{space 1}   -1.98{col 79}{space 3}0.049{col 87}{space 4}-1.783475{col 100}{space 3} -.004832
{txt}{space 22}Venezuela Bandera Roja  {c |}{col 47}{res}{space 2}-.8377533{col 59}{space 2} .5467036{col 70}{space 1}   -1.53{col 79}{space 3}0.127{col 87}{space 4}-1.916445{col 100}{space 3} .2409388
{txt}{space 34}Yemen AQAP  {c |}{col 47}{res}{space 2} .6321033{col 59}{space 2} .1231932{col 70}{space 1}    5.13{col 79}{space 3}0.000{col 87}{space 4} .3890327{col 100}{space 3} .8751738
{txt}{space 28}Yemen Ansarallah  {c |}{col 47}{res}{space 2} 1.629319{col 59}{space 2} .1560928{col 70}{space 1}   10.44{col 79}{space 3}0.000{col 87}{space 4} 1.321335{col 100}{space 3} 1.937303
{txt}{space 24}Yemen Forces of Hadi  {c |}{col 47}{res}{space 2}-1.358033{col 59}{space 2} .4145993{col 70}{space 1}   -3.28{col 79}{space 3}0.001{col 87}{space 4}-2.176073{col 100}{space 3}-.5399941
{txt}{space 36}Yemen IS  {c |}{col 47}{res}{space 2} -1.52026{col 59}{space 2}   .25144{col 70}{space 1}   -6.05{col 79}{space 3}0.000{col 87}{space 4}-2.016372{col 100}{space 3}-1.024147
{txt}{space 31}Zimbabwe ZANU  {c |}{col 47}{res}{space 2}-.8347347{col 59}{space 2} .3822364{col 70}{space 1}   -2.18{col 79}{space 3}0.030{col 87}{space 4}-1.588919{col 100}{space 3}-.0805502
{txt}{space 45} {c |}
{space 40}_cons {c |}{col 47}{res}{space 2} .3570023{col 59}{space 2} .5047435{col 70}{space 1}    0.71{col 79}{space 3}0.480{col 87}{space 4}-.6388991{col 100}{space 3} 1.352904
{txt}{hline 46}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress lnkidnap infight_b c.lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag ln_gdp ln_pop pts_a efindex i.year i.panelid, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}       745
                                                {txt}{help j_robustsingular:F(38, 108) }       =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.6820
                                                {txt}Root MSE          =    {res} .70763

{txt}{ralign 111:(Std. err. adjusted for {res:109} clusters in {res:panelid})}
{hline 46}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 47}{c |}{col 59}    Robust
{col 1}                                     lnkidnap{col 47}{c |} Coefficient{col 59}  std. err.{col 71}      t{col 79}   P>|t|{col 87}     [95% con{col 100}f. interval]
{hline 46}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 36}infight_b {c |}{col 47}{res}{space 2}  .234264{col 59}{space 2} .0996976{col 70}{space 1}    2.35{col 79}{space 3}0.021{col 87}{space 4} .0366461{col 100}{space 3} .4318819
{txt}{space 36}lndeathsb {c |}{col 47}{res}{space 2} .0679156{col 59}{space 2} .0223367{col 70}{space 1}    3.04{col 79}{space 3}0.003{col 87}{space 4} .0236404{col 100}{space 3} .1121907
{txt}{space 34}foreignspon {c |}{col 47}{res}{space 2}-.0812941{col 59}{space 2} .1318065{col 70}{space 1}   -0.62{col 79}{space 3}0.539{col 87}{space 4}-.3425574{col 100}{space 3} .1799693
{txt}{space 41}size {c |}{col 47}{res}{space 2}-.0965009{col 59}{space 2} .0806159{col 70}{space 1}   -1.20{col 79}{space 3}0.234{col 87}{space 4}-.2562957{col 100}{space 3} .0632938
{txt}{space 42}nat {c |}{col 47}{res}{space 2}  .208457{col 59}{space 2}  .161575{col 70}{space 1}    1.29{col 79}{space 3}0.200{col 87}{space 4}-.1118127{col 100}{space 3} .5287267
{txt}{space 41}left {c |}{col 47}{res}{space 2} .1536583{col 59}{space 2} .4183925{col 70}{space 1}    0.37{col 79}{space 3}0.714{col 87}{space 4}-.6756683{col 100}{space 3} .9829849
{txt}{space 42}rel {c |}{col 47}{res}{space 2}-.0761657{col 59}{space 2} .3652963{col 70}{space 1}   -0.21{col 79}{space 3}0.835{col 87}{space 4}-.8002462{col 100}{space 3} .6479149
{txt}{space 35}regimetype {c |}{col 47}{res}{space 2}  .383159{col 59}{space 2} .1631927{col 70}{space 1}    2.35{col 79}{space 3}0.021{col 87}{space 4} .0596828{col 100}{space 3} .7066352
{txt}{space 36}territory {c |}{col 47}{res}{space 2} .2655304{col 59}{space 2}  .273434{col 70}{space 1}    0.97{col 79}{space 3}0.334{col 87}{space 4}-.2764631{col 100}{space 3} .8075239
{txt}{space 35}kidnap_lag {c |}{col 47}{res}{space 2} .0463525{col 59}{space 2}  .005052{col 70}{space 1}    9.18{col 79}{space 3}0.000{col 87}{space 4} .0363386{col 100}{space 3} .0563664
{txt}{space 35}terror_lag {c |}{col 47}{res}{space 2} .0035405{col 59}{space 2} .0025418{col 70}{space 1}    1.39{col 79}{space 3}0.167{col 87}{space 4}-.0014978{col 100}{space 3} .0085789
{txt}{space 37}soft_lag {c |}{col 47}{res}{space 2}-.0036944{col 59}{space 2} .0047574{col 70}{space 1}   -0.78{col 79}{space 3}0.439{col 87}{space 4}-.0131244{col 100}{space 3} .0057357
{txt}{space 39}ln_gdp {c |}{col 47}{res}{space 2}-.1959309{col 59}{space 2}  .111976{col 70}{space 1}   -1.75{col 79}{space 3}0.083{col 87}{space 4}-.4178867{col 100}{space 3} .0260249
{txt}{space 39}ln_pop {c |}{col 47}{res}{space 2}  .596833{col 59}{space 2} .8875037{col 70}{space 1}    0.67{col 79}{space 3}0.503{col 87}{space 4}-1.162353{col 100}{space 3} 2.356019
{txt}{space 40}pts_a {c |}{col 47}{res}{space 2} .0541526{col 59}{space 2} .0606792{col 70}{space 1}    0.89{col 79}{space 3}0.374{col 87}{space 4}-.0661242{col 100}{space 3} .1744294
{txt}{space 38}efindex {c |}{col 47}{res}{space 2}-.8353897{col 59}{space 2} 1.384138{col 70}{space 1}   -0.60{col 79}{space 3}0.547{col 87}{space 4}-3.578991{col 100}{space 3} 1.908212
{txt}{space 45} {c |}
{space 41}year {c |}
{space 40}1990  {c |}{col 47}{res}{space 2} .2783972{col 59}{space 2} .2390475{col 70}{space 1}    1.16{col 79}{space 3}0.247{col 87}{space 4}-.1954365{col 100}{space 3} .7522308
{txt}{space 40}1991  {c |}{col 47}{res}{space 2} .1038229{col 59}{space 2} .2456135{col 70}{space 1}    0.42{col 79}{space 3}0.673{col 87}{space 4}-.3830257{col 100}{space 3} .5906715
{txt}{space 40}1992  {c |}{col 47}{res}{space 2}-.3623795{col 59}{space 2} .2117629{col 70}{space 1}   -1.71{col 79}{space 3}0.090{col 87}{space 4}-.7821304{col 100}{space 3} .0573714
{txt}{space 40}1993  {c |}{col 47}{res}{space 2}-.6128893{col 59}{space 2} .2449891{col 70}{space 1}   -2.50{col 79}{space 3}0.014{col 87}{space 4}  -1.0985{col 100}{space 3}-.1272784
{txt}{space 40}1994  {c |}{col 47}{res}{space 2}-.0252078{col 59}{space 2} .2649951{col 70}{space 1}   -0.10{col 79}{space 3}0.924{col 87}{space 4}-.5504741{col 100}{space 3} .5000585
{txt}{space 40}1995  {c |}{col 47}{res}{space 2}-.1684398{col 59}{space 2}  .227363{col 70}{space 1}   -0.74{col 79}{space 3}0.460{col 87}{space 4}-.6191128{col 100}{space 3} .2822332
{txt}{space 40}1996  {c |}{col 47}{res}{space 2}-.0626402{col 59}{space 2} .2595644{col 70}{space 1}   -0.24{col 79}{space 3}0.810{col 87}{space 4}-.5771418{col 100}{space 3} .4518615
{txt}{space 40}1997  {c |}{col 47}{res}{space 2}-.0179541{col 59}{space 2}  .293035{col 70}{space 1}   -0.06{col 79}{space 3}0.951{col 87}{space 4}-.5988003{col 100}{space 3} .5628921
{txt}{space 40}1998  {c |}{col 47}{res}{space 2}-.3936619{col 59}{space 2} .2205683{col 70}{space 1}   -1.78{col 79}{space 3}0.077{col 87}{space 4}-.8308664{col 100}{space 3} .0435427
{txt}{space 40}1999  {c |}{col 47}{res}{space 2}-.0300462{col 59}{space 2} .2696879{col 70}{space 1}   -0.11{col 79}{space 3}0.911{col 87}{space 4}-.5646145{col 100}{space 3}  .504522
{txt}{space 40}2000  {c |}{col 47}{res}{space 2}-.0036946{col 59}{space 2} .2858947{col 70}{space 1}   -0.01{col 79}{space 3}0.990{col 87}{space 4}-.5703876{col 100}{space 3} .5629984
{txt}{space 40}2001  {c |}{col 47}{res}{space 2} .0188601{col 59}{space 2} .2993628{col 70}{space 1}    0.06{col 79}{space 3}0.950{col 87}{space 4}-.5745289{col 100}{space 3} .6122492
{txt}{space 40}2002  {c |}{col 47}{res}{space 2}-.1223644{col 59}{space 2} .3024092{col 70}{space 1}   -0.40{col 79}{space 3}0.687{col 87}{space 4}-.7217918{col 100}{space 3} .4770631
{txt}{space 40}2003  {c |}{col 47}{res}{space 2} -.462738{col 59}{space 2} .2680961{col 70}{space 1}   -1.73{col 79}{space 3}0.087{col 87}{space 4}-.9941509{col 100}{space 3} .0686749
{txt}{space 40}2004  {c |}{col 47}{res}{space 2}-.5250178{col 59}{space 2} .3085528{col 70}{space 1}   -1.70{col 79}{space 3}0.092{col 87}{space 4}-1.136623{col 100}{space 3} .0865874
{txt}{space 40}2005  {c |}{col 47}{res}{space 2}-.0619766{col 59}{space 2} .3856472{col 70}{space 1}   -0.16{col 79}{space 3}0.873{col 87}{space 4}-.8263962{col 100}{space 3} .7024429
{txt}{space 40}2006  {c |}{col 47}{res}{space 2}-.0268234{col 59}{space 2} .3942969{col 70}{space 1}   -0.07{col 79}{space 3}0.946{col 87}{space 4}-.8083882{col 100}{space 3} .7547414
{txt}{space 40}2007  {c |}{col 47}{res}{space 2}-.0899315{col 59}{space 2}  .335128{col 70}{space 1}   -0.27{col 79}{space 3}0.789{col 87}{space 4}-.7542133{col 100}{space 3} .5743503
{txt}{space 40}2008  {c |}{col 47}{res}{space 2} .2856572{col 59}{space 2} .4003611{col 70}{space 1}    0.71{col 79}{space 3}0.477{col 87}{space 4} -.507928{col 100}{space 3} 1.079242
{txt}{space 40}2009  {c |}{col 47}{res}{space 2} -.155621{col 59}{space 2}   .37065{col 70}{space 1}   -0.42{col 79}{space 3}0.675{col 87}{space 4}-.8903137{col 100}{space 3} .5790717
{txt}{space 40}2010  {c |}{col 47}{res}{space 2}-.1921641{col 59}{space 2} .3722992{col 70}{space 1}   -0.52{col 79}{space 3}0.607{col 87}{space 4}-.9301257{col 100}{space 3} .5457975
{txt}{space 40}2011  {c |}{col 47}{res}{space 2}-.0718832{col 59}{space 2} .4461743{col 70}{space 1}   -0.16{col 79}{space 3}0.872{col 87}{space 4} -.956278{col 100}{space 3} .8125116
{txt}{space 40}2012  {c |}{col 47}{res}{space 2} .1209978{col 59}{space 2}  .432313{col 70}{space 1}    0.28{col 79}{space 3}0.780{col 87}{space 4}-.7359216{col 100}{space 3} .9779172
{txt}{space 45} {c |}
{space 38}panelid {c |}
{space 25}Afghanistan Taleban  {c |}{col 47}{res}{space 2}   1.4207{col 59}{space 2} .4720275{col 70}{space 1}    3.01{col 79}{space 3}0.003{col 87}{space 4} .4850598{col 100}{space 3} 2.356341
{txt}{space 33}Algeria AIS  {c |}{col 47}{res}{space 2} .1902111{col 59}{space 2} .5976657{col 70}{space 1}    0.32{col 79}{space 3}0.751{col 87}{space 4} -.994466{col 100}{space 3} 1.374888
{txt}{space 32}Algeria AQIM  {c |}{col 47}{res}{space 2} .4496815{col 59}{space 2} .6051795{col 70}{space 1}    0.74{col 79}{space 3}0.459{col 87}{space 4}-.7498893{col 100}{space 3} 1.649252
{txt}{space 33}Algeria GIA  {c |}{col 47}{res}{space 2} .0849378{col 59}{space 2} .5750746{col 70}{space 1}    0.15{col 79}{space 3}0.883{col 87}{space 4} -1.05496{col 100}{space 3} 1.224835
{txt}{space 31}Algeria MUJAO  {c |}{col 47}{res}{space 2}-.3701723{col 59}{space 2} .6453715{col 70}{space 1}   -0.57{col 79}{space 3}0.567{col 87}{space 4}-1.649411{col 100}{space 3}  .909066
{txt}{space 32}Angola UNITA  {c |}{col 47}{res}{space 2} .2646164{col 59}{space 2} .6123269{col 70}{space 1}    0.43{col 79}{space 3}0.666{col 87}{space 4}-.9491218{col 100}{space 3} 1.478355
{txt}{space 27}Bangladesh JSS/SB  {c |}{col 47}{res}{space 2}-1.288539{col 59}{space 2} 1.386878{col 70}{space 1}   -0.93{col 79}{space 3}0.355{col 87}{space 4}-4.037571{col 100}{space 3} 1.460493
{txt}{space 29}Bangladesh PBCP  {c |}{col 47}{res}{space 2}-1.912694{col 59}{space 2} 1.452494{col 70}{space 1}   -1.32{col 79}{space 3}0.191{col 87}{space 4}-4.791789{col 100}{space 3} .9664014
{txt}{space 27}Bangladesh PBCP-J  {c |}{col 47}{res}{space 2}-1.933457{col 59}{space 2} 1.453092{col 70}{space 1}   -1.33{col 79}{space 3}0.186{col 87}{space 4}-4.813737{col 100}{space 3}  .946823
{txt}{space 32}Burundi CNDD  {c |}{col 47}{res}{space 2} .0382564{col 59}{space 2} 1.578421{col 70}{space 1}    0.02{col 79}{space 3}0.981{col 87}{space 4}-3.090448{col 100}{space 3} 3.166961
{txt}{space 33}Cambodia KR  {c |}{col 47}{res}{space 2} .4989988{col 59}{space 2} 1.312004{col 70}{space 1}    0.38{col 79}{space 3}0.704{col 87}{space 4}-2.101621{col 100}{space 3} 3.099618
{txt}{space 15}Central African Republic CPJP  {c |}{col 47}{res}{space 2} .4353567{col 59}{space 2} 1.902053{col 70}{space 1}    0.23{col 79}{space 3}0.819{col 87}{space 4}-3.334843{col 100}{space 3} 4.205556
{txt}{space 35}Chad MDJT  {c |}{col 47}{res}{space 2} .3022715{col 59}{space 2} .9861792{col 70}{space 1}    0.31{col 79}{space 3}0.760{col 87}{space 4}-1.652507{col 100}{space 3}  2.25705
{txt}{space 35}Chad UFDD  {c |}{col 47}{res}{space 2}  .394091{col 59}{space 2} .8334978{col 70}{space 1}    0.47{col 79}{space 3}0.637{col 87}{space 4}-1.258046{col 100}{space 3} 2.046228
{txt}{space 32}Colombia ELN  {c |}{col 47}{res}{space 2} .8446156{col 59}{space 2} .6835215{col 70}{space 1}    1.24{col 79}{space 3}0.219{col 87}{space 4}-.5102426{col 100}{space 3} 2.199474
{txt}{space 32}Colombia EPL  {c |}{col 47}{res}{space 2} .3168431{col 59}{space 2} .6938063{col 70}{space 1}    0.46{col 79}{space 3}0.649{col 87}{space 4}-1.058401{col 100}{space 3} 1.692087
{txt}{space 31}Colombia FARC  {c |}{col 47}{res}{space 2} 1.053649{col 59}{space 2} .7217144{col 70}{space 1}    1.46{col 79}{space 3}0.147{col 87}{space 4}-.3769137{col 100}{space 3} 2.484213
{txt}{space 31}Colombia M-19  {c |}{col 47}{res}{space 2}-.2919709{col 59}{space 2} .6909187{col 70}{space 1}   -0.42{col 79}{space 3}0.673{col 87}{space 4}-1.661492{col 100}{space 3}  1.07755
{txt}{space 32}Congo Ninjas  {c |}{col 47}{res}{space 2} 1.269835{col 59}{space 2} 1.837295{col 70}{space 1}    0.69{col 79}{space 3}0.491{col 87}{space 4}-2.372003{col 100}{space 3} 4.911673
{txt}{space 31}Djibouti FRUD  {c |}{col 47}{res}{space 2}  2.05349{col 59}{space 2} 3.343654{col 70}{space 1}    0.61{col 79}{space 3}0.540{col 87}{space 4}-4.574213{col 100}{space 3} 8.681193
{txt}{space 16}Egypt al-Gama'a al-Islamiyya  {c |}{col 47}{res}{space 2}-1.224574{col 59}{space 2} 1.090617{col 70}{space 1}   -1.12{col 79}{space 3}0.264{col 87}{space 4}-3.386366{col 100}{space 3} .9372171
{txt}{space 28}El Salvador FMLN  {c |}{col 47}{res}{space 2} .0261568{col 59}{space 2} 1.929175{col 70}{space 1}    0.01{col 79}{space 3}0.989{col 87}{space 4}-3.797804{col 100}{space 3} 3.850117
{txt}{space 31}Ethiopia AIAI  {c |}{col 47}{res}{space 2}-1.090689{col 59}{space 2} 1.029677{col 70}{space 1}   -1.06{col 79}{space 3}0.292{col 87}{space 4}-3.131687{col 100}{space 3} .9503089
{txt}{space 30}Ethiopia ARDUF  {c |}{col 47}{res}{space 2}-.2487535{col 59}{space 2} 1.071754{col 70}{space 1}   -0.23{col 79}{space 3}0.817{col 87}{space 4}-2.373157{col 100}{space 3}  1.87565
{txt}{space 32}Ethiopia ELF  {c |}{col 47}{res}{space 2}-.7061268{col 59}{space 2} .8245367{col 70}{space 1}   -0.86{col 79}{space 3}0.394{col 87}{space 4}-2.340502{col 100}{space 3}  .928248
{txt}{space 31}Ethiopia EPLF  {c |}{col 47}{res}{space 2} -1.14506{col 59}{space 2} .7959783{col 70}{space 1}   -1.44{col 79}{space 3}0.153{col 87}{space 4}-2.722827{col 100}{space 3} .4327071
{txt}{space 31}Ethiopia EPRP  {c |}{col 47}{res}{space 2} -.744014{col 59}{space 2}   .92659{col 70}{space 1}   -0.80{col 79}{space 3}0.424{col 87}{space 4}-2.580676{col 100}{space 3} 1.092648
{txt}{space 32}Ethiopia OLF  {c |}{col 47}{res}{space 2}-1.271753{col 59}{space 2}  .947529{col 70}{space 1}   -1.34{col 79}{space 3}0.182{col 87}{space 4} -3.14992{col 100}{space 3} .6064137
{txt}{space 31}Ethiopia ONLF  {c |}{col 47}{res}{space 2}-1.318074{col 59}{space 2} 1.040998{col 70}{space 1}   -1.27{col 79}{space 3}0.208{col 87}{space 4}-3.381513{col 100}{space 3}  .745365
{txt}{space 31}Ethiopia TPLF  {c |}{col 47}{res}{space 2}-1.287913{col 59}{space 2} .7942216{col 70}{space 1}   -1.62{col 79}{space 3}0.108{col 87}{space 4}-2.862198{col 100}{space 3} .2863715
{txt}{space 31}Guatemala EGP  {c |}{col 47}{res}{space 2} .5131443{col 59}{space 2} 1.110961{col 70}{space 1}    0.46{col 79}{space 3}0.645{col 87}{space 4}-1.688973{col 100}{space 3} 2.715262
{txt}{space 30}Guatemala ORPA  {c |}{col 47}{res}{space 2} .1261397{col 59}{space 2} 1.088566{col 70}{space 1}    0.12{col 79}{space 3}0.908{col 87}{space 4}-2.031587{col 100}{space 3} 2.283867
{txt}{space 30}Guatemala URNG  {c |}{col 47}{res}{space 2}  .747637{col 59}{space 2} 1.041467{col 70}{space 1}    0.72{col 79}{space 3}0.474{col 87}{space 4}-1.316732{col 100}{space 3} 2.812006
{txt}{space 26}Indonesia Fretilin  {c |}{col 47}{res}{space 2}-1.176631{col 59}{space 2} 1.988937{col 70}{space 1}   -0.59{col 79}{space 3}0.555{col 87}{space 4}-5.119049{col 100}{space 3} 2.765786
{txt}{space 31}Indonesia GAM  {c |}{col 47}{res}{space 2}-1.092942{col 59}{space 2} 1.960084{col 70}{space 1}   -0.56{col 79}{space 3}0.578{col 87}{space 4}-4.978169{col 100}{space 3} 2.792284
{txt}{space 31}Indonesia OPM  {c |}{col 47}{res}{space 2}-.8816505{col 59}{space 2}  1.99383{col 70}{space 1}   -0.44{col 79}{space 3}0.659{col 87}{space 4}-4.833767{col 100}{space 3} 3.070466
{txt}{space 30}Iran Jondullah  {c |}{col 47}{res}{space 2} .1100329{col 59}{space 2} 1.010679{col 70}{space 1}    0.11{col 79}{space 3}0.914{col 87}{space 4}-1.893309{col 100}{space 3} 2.113374
{txt}{space 35}Iran KDPI  {c |}{col 47}{res}{space 2}-1.033852{col 59}{space 2} 1.062804{col 70}{space 1}   -0.97{col 79}{space 3}0.333{col 87}{space 4}-3.140513{col 100}{space 3}  1.07281
{txt}{space 36}Iran MEK  {c |}{col 47}{res}{space 2}-.5251965{col 59}{space 2} 1.063226{col 70}{space 1}   -0.49{col 79}{space 3}0.622{col 87}{space 4}-2.632696{col 100}{space 3} 1.582303
{txt}{space 35}Iran PJAK  {c |}{col 47}{res}{space 2}-.5252474{col 59}{space 2} .9945784{col 70}{space 1}   -0.53{col 79}{space 3}0.599{col 87}{space 4}-2.496674{col 100}{space 3} 1.446179
{txt}{space 25}Iraq Ansar al-Islam  {c |}{col 47}{res}{space 2}  .338508{col 59}{space 2} .5322427{col 70}{space 1}    0.64{col 79}{space 3}0.526{col 87}{space 4}-.7164893{col 100}{space 3} 1.393505
{txt}{space 37}Iraq IS  {c |}{col 47}{res}{space 2} .5849649{col 59}{space 2} .6024682{col 70}{space 1}    0.97{col 79}{space 3}0.334{col 87}{space 4}-.6092317{col 100}{space 3} 1.779161
{txt}{space 36}Iraq KDP  {c |}{col 47}{res}{space 2}-.4191078{col 59}{space 2} .6506576{col 70}{space 1}   -0.64{col 79}{space 3}0.521{col 87}{space 4}-1.708824{col 100}{space 3} .8706085
{txt}{space 36}Iraq PUK  {c |}{col 47}{res}{space 2}-1.107606{col 59}{space 2}  .758281{col 70}{space 1}   -1.46{col 79}{space 3}0.147{col 87}{space 4} -2.61065{col 100}{space 3} .3954386
{txt}{space 34}Iraq SCIRI  {c |}{col 47}{res}{space 2}-.0563826{col 59}{space 2} .5330485{col 70}{space 1}   -0.11{col 79}{space 3}0.916{col 87}{space 4}-1.112977{col 100}{space 3} 1.000212
{txt}{space 26}Iraq al-Mahdi Army  {c |}{col 47}{res}{space 2}-.5618587{col 59}{space 2} .6903772{col 70}{space 1}   -0.81{col 79}{space 3}0.418{col 87}{space 4}-1.930306{col 100}{space 3} .8065887
{txt}{space 34}Israel AMB  {c |}{col 47}{res}{space 2} .4859009{col 59}{space 2}  1.63671{col 70}{space 1}    0.30{col 79}{space 3}0.767{col 87}{space 4}-2.758342{col 100}{space 3} 3.730143
{txt}{space 32}Israel Fatah  {c |}{col 47}{res}{space 2} .1892555{col 59}{space 2} 1.660305{col 70}{space 1}    0.11{col 79}{space 3}0.909{col 87}{space 4}-3.101757{col 100}{space 3} 3.480268
{txt}{space 32}Israel Hamas  {c |}{col 47}{res}{space 2} .5538754{col 59}{space 2} 1.642095{col 70}{space 1}    0.34{col 79}{space 3}0.737{col 87}{space 4}-2.701042{col 100}{space 3} 3.808793
{txt}{space 28}Israel Hezbollah  {c |}{col 47}{res}{space 2} 1.003137{col 59}{space 2} 1.614148{col 70}{space 1}    0.62{col 79}{space 3}0.536{col 87}{space 4}-2.196384{col 100}{space 3} 4.202657
{txt}{space 33}Israel PFLP  {c |}{col 47}{res}{space 2} .4474374{col 59}{space 2} 1.638635{col 70}{space 1}    0.27{col 79}{space 3}0.785{col 87}{space 4}-2.800621{col 100}{space 3} 3.695496
{txt}{space 34}Israel PIJ  {c |}{col 47}{res}{space 2} .4880804{col 59}{space 2} 1.587894{col 70}{space 1}    0.31{col 79}{space 3}0.759{col 87}{space 4}-2.659402{col 100}{space 3} 3.635563
{txt}{space 34}Israel PRC  {c |}{col 47}{res}{space 2} .5551749{col 59}{space 2}  1.57811{col 70}{space 1}    0.35{col 79}{space 3}0.726{col 87}{space 4}-2.572913{col 100}{space 3} 3.683263
{txt}{space 28}Kenya Al-Shabaab  {c |}{col 47}{res}{space 2} .8293499{col 59}{space 2}  .531249{col 70}{space 1}    1.56{col 79}{space 3}0.121{col 87}{space 4}-.2236777{col 100}{space 3} 1.882378
{txt}{space 32}Lebanon Amal  {c |}{col 47}{res}{space 2} .7416334{col 59}{space 2} 2.234001{col 70}{space 1}    0.33{col 79}{space 3}0.741{col 87}{space 4}-3.686544{col 100}{space 3}  5.16981
{txt}{space 33}Lebanon NUF  {c |}{col 47}{res}{space 2} .1009168{col 59}{space 2} 2.404736{col 70}{space 1}    0.04{col 79}{space 3}0.967{col 87}{space 4}-4.665687{col 100}{space 3}  4.86752
{txt}{space 32}Liberia LURD  {c |}{col 47}{res}{space 2} 1.630203{col 59}{space 2} 1.866041{col 70}{space 1}    0.87{col 79}{space 3}0.384{col 87}{space 4}-2.068614{col 100}{space 3} 5.329021
{txt}{space 35}Mali AQIM  {c |}{col 47}{res}{space 2} 1.125815{col 59}{space 2} .5718199{col 70}{space 1}    1.97{col 79}{space 3}0.052{col 87}{space 4}-.0076309{col 100}{space 3} 2.259262
{txt}{space 29}Mauritania AQIM  {c |}{col 47}{res}{space 2}  1.73702{col 59}{space 2} 1.814534{col 70}{space 1}    0.96{col 79}{space 3}0.341{col 87}{space 4}-1.859701{col 100}{space 3} 5.333742
{txt}{space 34}Mexico EPR  {c |}{col 47}{res}{space 2}-.6325249{col 59}{space 2} 1.353876{col 70}{space 1}   -0.47{col 79}{space 3}0.641{col 87}{space 4}-3.316143{col 100}{space 3} 2.051093
{txt}{space 33}Mexico EZLN  {c |}{col 47}{res}{space 2}-.5343355{col 59}{space 2} 1.292006{col 70}{space 1}   -0.41{col 79}{space 3}0.680{col 87}{space 4}-3.095316{col 100}{space 3} 2.026645
{txt}{space 31}Myanmar ABSDF  {c |}{col 47}{res}{space 2}-.6149001{col 59}{space 2} .7218342{col 70}{space 1}   -0.85{col 79}{space 3}0.396{col 87}{space 4}-2.045701{col 100}{space 3} .8159005
{txt}{space 33}Myanmar KIO  {c |}{col 47}{res}{space 2} -.483437{col 59}{space 2} .6334147{col 70}{space 1}   -0.76{col 79}{space 3}0.447{col 87}{space 4}-1.738975{col 100}{space 3} .7721009
{txt}{space 32}Myanmar KNPP  {c |}{col 47}{res}{space 2}-1.319857{col 59}{space 2} .6099657{col 70}{space 1}   -2.16{col 79}{space 3}0.033{col 87}{space 4}-2.528914{col 100}{space 3}-.1107989
{txt}{space 33}Myanmar KNU  {c |}{col 47}{res}{space 2}-1.300074{col 59}{space 2} .6011676{col 70}{space 1}   -2.16{col 79}{space 3}0.033{col 87}{space 4}-2.491692{col 100}{space 3}-.1084553
{txt}{space 33}Nepal CPN-M  {c |}{col 47}{res}{space 2}-.7187414{col 59}{space 2} .6105716{col 70}{space 1}   -1.18{col 79}{space 3}0.242{col 87}{space 4}   -1.929{col 100}{space 3} .4915173
{txt}{space 30}Nicaragua FSLN  {c |}{col 47}{res}{space 2} .7658316{col 59}{space 2} 1.676221{col 70}{space 1}    0.46{col 79}{space 3}0.649{col 87}{space 4} -2.55673{col 100}{space 3} 4.088393
{txt}{space 35}Niger FDR  {c |}{col 47}{res}{space 2}-.0431624{col 59}{space 2} .8936584{col 70}{space 1}   -0.05{col 79}{space 3}0.962{col 87}{space 4}-1.814549{col 100}{space 3} 1.728224
{txt}{space 35}Niger MNJ  {c |}{col 47}{res}{space 2} 1.397745{col 59}{space 2} .8734229{col 70}{space 1}    1.60{col 79}{space 3}0.112{col 87}{space 4}-.3335302{col 100}{space 3} 3.129021
{txt}Nigeria Jama'atu Ahlis Sunna Lidda'awati w..  {c |}{col 47}{res}{space 2}-.4936505{col 59}{space 2}  1.56725{col 70}{space 1}   -0.31{col 79}{space 3}0.753{col 87}{space 4}-3.600212{col 100}{space 3} 2.612911
{txt}{space 32}Pakistan BLA  {c |}{col 47}{res}{space 2}-.7323636{col 59}{space 2} 1.609841{col 70}{space 1}   -0.45{col 79}{space 3}0.650{col 87}{space 4}-3.923347{col 100}{space 3}  2.45862
{txt}{space 32}Pakistan BLF  {c |}{col 47}{res}{space 2}-1.385283{col 59}{space 2} 1.633718{col 70}{space 1}   -0.85{col 79}{space 3}0.398{col 87}{space 4}-4.623595{col 100}{space 3} 1.853029
{txt}{space 32}Pakistan BRA  {c |}{col 47}{res}{space 2}-1.445141{col 59}{space 2}  1.61996{col 70}{space 1}   -0.89{col 79}{space 3}0.374{col 87}{space 4}-4.656183{col 100}{space 3}   1.7659
{txt}{space 20}Pakistan Lashkar-e-Islam  {c |}{col 47}{res}{space 2} .4131891{col 59}{space 2} 1.556185{col 70}{space 1}    0.27{col 79}{space 3}0.791{col 87}{space 4} -2.67144{col 100}{space 3} 3.497818
{txt}{space 32}Pakistan MQM  {c |}{col 47}{res}{space 2}-1.267784{col 59}{space 2} 1.568543{col 70}{space 1}   -0.81{col 79}{space 3}0.421{col 87}{space 4}-4.376908{col 100}{space 3}  1.84134
{txt}{space 32}Pakistan TTP  {c |}{col 47}{res}{space 2} 1.339791{col 59}{space 2} 1.610367{col 70}{space 1}    0.83{col 79}{space 3}0.407{col 87}{space 4}-1.852236{col 100}{space 3} 4.531817
{txt}{space 32}Pakistan UBA  {c |}{col 47}{res}{space 2} -1.52327{col 59}{space 2} 1.650135{col 70}{space 1}   -0.92{col 79}{space 3}0.358{col 87}{space 4}-4.794125{col 100}{space 3} 1.747584
{txt}{space 35}Peru MRTA  {c |}{col 47}{res}{space 2} .4463243{col 59}{space 2}  .610656{col 70}{space 1}    0.73{col 79}{space 3}0.466{col 87}{space 4}-.7641019{col 100}{space 3}  1.65675
{txt}{space 23}Peru Sendero Luminoso  {c |}{col 47}{res}{space 2} .1645609{col 59}{space 2} .6142066{col 70}{space 1}    0.27{col 79}{space 3}0.789{col 87}{space 4}-1.052903{col 100}{space 3} 1.382025
{txt}{space 29}Philippines ASG  {c |}{col 47}{res}{space 2} .6092932{col 59}{space 2} 1.147886{col 70}{space 1}    0.53{col 79}{space 3}0.597{col 87}{space 4}-1.666016{col 100}{space 3} 2.884603
{txt}{space 29}Philippines CPP  {c |}{col 47}{res}{space 2}-.2435722{col 59}{space 2} 1.093768{col 70}{space 1}   -0.22{col 79}{space 3}0.824{col 87}{space 4} -2.41161{col 100}{space 3} 1.924465
{txt}{space 28}Philippines MILF  {c |}{col 47}{res}{space 2} .1213581{col 59}{space 2} 1.190262{col 70}{space 1}    0.10{col 79}{space 3}0.919{col 87}{space 4}-2.237947{col 100}{space 3} 2.480663
{txt}{space 28}Philippines MNLF  {c |}{col 47}{res}{space 2}-.3317815{col 59}{space 2} 1.140416{col 70}{space 1}   -0.29{col 79}{space 3}0.772{col 87}{space 4}-2.592283{col 100}{space 3}  1.92872
{txt}{space 9}Russia Chechen Republic of Ichkeria  {c |}{col 47}{res}{space 2}-1.900688{col 59}{space 2} 1.452012{col 70}{space 1}   -1.31{col 79}{space 3}0.193{col 87}{space 4}-4.778827{col 100}{space 3} .9774511
{txt}{space 7}Russia Forces of the Caucasus Emirate  {c |}{col 47}{res}{space 2}-1.193246{col 59}{space 2} 1.490201{col 70}{space 1}   -0.80{col 79}{space 3}0.425{col 87}{space 4}-4.147083{col 100}{space 3} 1.760592
{txt}{space 34}Rwanda FPR  {c |}{col 47}{res}{space 2}-.2004489{col 59}{space 2} 1.644589{col 70}{space 1}   -0.12{col 79}{space 3}0.903{col 87}{space 4}-3.460309{col 100}{space 3} 3.059411
{txt}{space 32}Senegal MFDC  {c |}{col 47}{res}{space 2}-.0599558{col 59}{space 2}  1.01397{col 70}{space 1}   -0.06{col 79}{space 3}0.953{col 87}{space 4}-2.069821{col 100}{space 3}  1.94991
{txt}{space 28}Sierra Leone RUF  {c |}{col 47}{res}{space 2} 1.752235{col 59}{space 2}  1.58344{col 70}{space 1}    1.11{col 79}{space 3}0.271{col 87}{space 4}-1.386419{col 100}{space 3} 4.890888
{txt}{space 33}Somalia SNM  {c |}{col 47}{res}{space 2}-.4465049{col 59}{space 2} 1.607409{col 70}{space 1}   -0.28{col 79}{space 3}0.782{col 87}{space 4}-3.632668{col 100}{space 3} 2.739658
{txt}{space 28}South Africa ANC  {c |}{col 47}{res}{space 2}-.0764988{col 59}{space 2} .7744137{col 70}{space 1}   -0.10{col 79}{space 3}0.921{col 87}{space 4}-1.611521{col 100}{space 3} 1.458523
{txt}{space 35}Spain ETA  {c |}{col 47}{res}{space 2}  .048685{col 59}{space 2}  .810101{col 70}{space 1}    0.06{col 79}{space 3}0.952{col 87}{space 4}-1.557076{col 100}{space 3} 1.654446
{txt}{space 29}Sri Lanka EPRLF  {c |}{col 47}{res}{space 2}-1.055119{col 59}{space 2} .7118153{col 70}{space 1}   -1.48{col 79}{space 3}0.141{col 87}{space 4} -2.46606{col 100}{space 3} .3558224
{txt}{space 31}Sri Lanka JVP  {c |}{col 47}{res}{space 2}-.5311217{col 59}{space 2}  .843196{col 70}{space 1}   -0.63{col 79}{space 3}0.530{col 87}{space 4}-2.202482{col 100}{space 3} 1.140239
{txt}{space 30}Sri Lanka LTTE  {c |}{col 47}{res}{space 2}-.0524517{col 59}{space 2} .9009106{col 70}{space 1}   -0.06{col 79}{space 3}0.954{col 87}{space 4}-1.838213{col 100}{space 3} 1.733309
{txt}{space 30}Sri Lanka TELO  {c |}{col 47}{res}{space 2}-.7325993{col 59}{space 2} .7356049{col 70}{space 1}   -1.00{col 79}{space 3}0.322{col 87}{space 4}-2.190696{col 100}{space 3} .7254972
{txt}{space 35}Sudan JEM  {c |}{col 47}{res}{space 2} -.019541{col 59}{space 2}   .51066{col 70}{space 1}   -0.04{col 79}{space 3}0.970{col 87}{space 4}-1.031758{col 100}{space 3} .9926757
{txt}{space 33}Sudan SLM/A  {c |}{col 47}{res}{space 2}-.3430819{col 59}{space 2} .4917308{col 70}{space 1}   -0.70{col 79}{space 3}0.487{col 87}{space 4}-1.317778{col 100}{space 3} .6316139
{txt}{space 32}Sudan SPLM/A  {c |}{col 47}{res}{space 2}-.3110227{col 59}{space 2} .4679516{col 70}{space 1}   -0.66{col 79}{space 3}0.508{col 87}{space 4}-1.238584{col 100}{space 3} .6165385
{txt}{space 18}Thailand Patani insurgents  {c |}{col 47}{res}{space 2} -.812743{col 59}{space 2} .9194813{col 70}{space 1}   -0.88{col 79}{space 3}0.379{col 87}{space 4}-2.635314{col 100}{space 3} 1.009828
{txt}{space 25}Turkey Devrimci Sol  {c |}{col 47}{res}{space 2}-.9871942{col 59}{space 2} .9940225{col 70}{space 1}   -0.99{col 79}{space 3}0.323{col 87}{space 4}-2.957519{col 100}{space 3} .9831309
{txt}{space 34}Turkey PKK  {c |}{col 47}{res}{space 2}-.1890271{col 59}{space 2} .9881603{col 70}{space 1}   -0.19{col 79}{space 3}0.849{col 87}{space 4}-2.147732{col 100}{space 3} 1.769678
{txt}{space 34}Turkey TAK  {c |}{col 47}{res}{space 2}-.8753588{col 59}{space 2} .9732592{col 70}{space 1}   -0.90{col 79}{space 3}0.370{col 87}{space 4}-2.804527{col 100}{space 3}  1.05381
{txt}{space 34}Uganda ADF  {c |}{col 47}{res}{space 2} .1152942{col 59}{space 2} .3037965{col 70}{space 1}    0.38{col 79}{space 3}0.705{col 87}{space 4}-.4868832{col 100}{space 3} .7174716
{txt}{space 34}Uganda HSM  {c |}{col 47}{res}{space 2} .0630128{col 59}{space 2} .3288568{col 70}{space 1}    0.19{col 79}{space 3}0.848{col 87}{space 4}-.5888384{col 100}{space 3}  .714864
{txt}{space 34}Uganda LRA  {c |}{col 47}{res}{space 2} 1.047842{col 59}{space 2} .3053029{col 70}{space 1}    3.43{col 79}{space 3}0.001{col 87}{space 4} .4426791{col 100}{space 3} 1.653006
{txt}{space 34}Uganda UPA  {c |}{col 47}{res}{space 2}-1.167209{col 59}{space 2}  .595865{col 70}{space 1}   -1.96{col 79}{space 3}0.053{col 87}{space 4}-2.348317{col 100}{space 3} .0138989
{txt}{space 25}United Kingdom PIRA  {c |}{col 47}{res}{space 2}-.4114669{col 59}{space 2}  1.06319{col 70}{space 1}   -0.39{col 79}{space 3}0.700{col 87}{space 4}-2.518894{col 100}{space 3} 1.695961
{txt}{space 31}Zimbabwe ZANU  {c |}{col 47}{res}{space 2}-.0673731{col 59}{space 2} .9827465{col 70}{space 1}   -0.07{col 79}{space 3}0.945{col 87}{space 4}-2.015347{col 100}{space 3} 1.880601
{txt}{space 45} {c |}
{space 40}_cons {c |}{col 47}{res}{space 2}-8.244807{col 59}{space 2} 15.43262{col 70}{space 1}   -0.53{col 79}{space 3}0.594{col 87}{space 4}-38.83494{col 100}{space 3} 22.34533
{txt}{hline 46}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * Additional Control Variables (Table A8)
. regress lnkidnap infight_b lndeathsb ageorg ageorg2 size nat left rel regimetype territory kidnap_lag terror_lag soft_lag, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}     1,404
                                                {txt}F(13, 182)        =  {res}    43.93
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4988
                                                {txt}Root MSE          =    {res} .94332

{txt}{ralign 78:(Std. err. adjusted for {res:183} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}infight_b {c |}{col 14}{res}{space 2} .8060397{col 26}{space 2} .1381354{col 37}{space 1}    5.84{col 46}{space 3}0.000{col 54}{space 4}  .533487{col 67}{space 3} 1.078592
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .0764906{col 26}{space 2} .0165717{col 37}{space 1}    4.62{col 46}{space 3}0.000{col 54}{space 4} .0437931{col 67}{space 3}  .109188
{txt}{space 6}ageorg {c |}{col 14}{res}{space 2}-.0254705{col 26}{space 2} .0195022{col 37}{space 1}   -1.31{col 46}{space 3}0.193{col 54}{space 4}-.0639499{col 67}{space 3} .0130089
{txt}{space 5}ageorg2 {c |}{col 14}{res}{space 2} .0017147{col 26}{space 2}   .00081{col 37}{space 1}    2.12{col 46}{space 3}0.036{col 54}{space 4} .0001165{col 67}{space 3} .0033128
{txt}{space 8}size {c |}{col 14}{res}{space 2} .0678769{col 26}{space 2} .0692188{col 37}{space 1}    0.98{col 46}{space 3}0.328{col 54}{space 4}-.0686975{col 67}{space 3} .2044513
{txt}{space 9}nat {c |}{col 14}{res}{space 2}-.1222468{col 26}{space 2} .1571878{col 37}{space 1}   -0.78{col 46}{space 3}0.438{col 54}{space 4}-.4323915{col 67}{space 3}  .187898
{txt}{space 8}left {c |}{col 14}{res}{space 2} .1731204{col 26}{space 2} .1935845{col 37}{space 1}    0.89{col 46}{space 3}0.372{col 54}{space 4}-.2088381{col 67}{space 3}  .555079
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .2884491{col 26}{space 2} .1611512{col 37}{space 1}    1.79{col 46}{space 3}0.075{col 54}{space 4}-.0295158{col 67}{space 3} .6064141
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .2671013{col 26}{space 2} .1078947{col 37}{space 1}    2.48{col 46}{space 3}0.014{col 54}{space 4} .0542159{col 67}{space 3} .4799866
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .4616147{col 26}{space 2} .1149246{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4} .2348587{col 67}{space 3} .6883707
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0438855{col 26}{space 2} .0098198{col 37}{space 1}    4.47{col 46}{space 3}0.000{col 54}{space 4} .0245102{col 67}{space 3} .0632607
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} -.000079{col 26}{space 2} .0019782{col 37}{space 1}   -0.04{col 46}{space 3}0.968{col 54}{space 4}-.0039821{col 67}{space 3} .0038241
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2} .0000527{col 26}{space 2} .0032433{col 37}{space 1}    0.02{col 46}{space 3}0.987{col 54}{space 4}-.0063466{col 67}{space 3}  .006452
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.113687{col 26}{space 2}  .251306{col 37}{space 1}   -0.45{col 46}{space 3}0.652{col 54}{space 4}-.6095349{col 67}{space 3} .3821608
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress lnkidnap infight_b lndeathsb ageorg ageorg2 foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag ln_gdp ln_pop pts_a efindex, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}       745
                                                {txt}F(18, 108)        =  {res}   168.29
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5558
                                                {txt}Root MSE          =    {res} .75847

{txt}{ralign 78:(Std. err. adjusted for {res:109} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}infight_b {c |}{col 14}{res}{space 2}  .345396{col 26}{space 2} .0823952{col 37}{space 1}    4.19{col 46}{space 3}0.000{col 54}{space 4} .1820745{col 67}{space 3} .5087176
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .0973121{col 26}{space 2} .0152545{col 37}{space 1}    6.38{col 46}{space 3}0.000{col 54}{space 4}  .067075{col 67}{space 3} .1275491
{txt}{space 6}ageorg {c |}{col 14}{res}{space 2}-.0391258{col 26}{space 2} .0233394{col 37}{space 1}   -1.68{col 46}{space 3}0.097{col 54}{space 4}-.0853884{col 67}{space 3} .0071369
{txt}{space 5}ageorg2 {c |}{col 14}{res}{space 2} .0024204{col 26}{space 2} .0011106{col 37}{space 1}    2.18{col 46}{space 3}0.031{col 54}{space 4} .0002191{col 67}{space 3} .0046217
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2}-.0110781{col 26}{space 2} .0927849{col 37}{space 1}   -0.12{col 46}{space 3}0.905{col 54}{space 4}-.1949939{col 67}{space 3} .1728378
{txt}{space 8}size {c |}{col 14}{res}{space 2}-.0034734{col 26}{space 2} .0586028{col 37}{space 1}   -0.06{col 46}{space 3}0.953{col 54}{space 4}-.1196342{col 67}{space 3} .1126875
{txt}{space 9}nat {c |}{col 14}{res}{space 2}-.1004356{col 26}{space 2} .1233632{col 37}{space 1}   -0.81{col 46}{space 3}0.417{col 54}{space 4}-.3449629{col 67}{space 3} .1440918
{txt}{space 8}left {c |}{col 14}{res}{space 2} .0826138{col 26}{space 2}  .157756{col 37}{space 1}    0.52{col 46}{space 3}0.602{col 54}{space 4}-.2300859{col 67}{space 3} .3953136
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .1948724{col 26}{space 2} .1354391{col 37}{space 1}    1.44{col 46}{space 3}0.153{col 54}{space 4}-.0735913{col 67}{space 3} .4633361
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .5088305{col 26}{space 2} .1017614{col 37}{space 1}    5.00{col 46}{space 3}0.000{col 54}{space 4} .3071217{col 67}{space 3} .7105393
{txt}{space 3}territory {c |}{col 14}{res}{space 2}  .190627{col 26}{space 2} .1074207{col 37}{space 1}    1.77{col 46}{space 3}0.079{col 54}{space 4}-.0222996{col 67}{space 3} .4035535
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0894754{col 26}{space 2} .0090357{col 37}{space 1}    9.90{col 46}{space 3}0.000{col 54}{space 4} .0715652{col 67}{space 3} .1073856
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0004963{col 26}{space 2} .0020239{col 37}{space 1}    0.25{col 46}{space 3}0.807{col 54}{space 4}-.0035154{col 67}{space 3}  .004508
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2} .0004358{col 26}{space 2} .0039866{col 37}{space 1}    0.11{col 46}{space 3}0.913{col 54}{space 4}-.0074664{col 67}{space 3}  .008338
{txt}{space 6}ln_gdp {c |}{col 14}{res}{space 2} -.106054{col 26}{space 2} .0340231{col 37}{space 1}   -3.12{col 46}{space 3}0.002{col 54}{space 4}-.1734937{col 67}{space 3}-.0386142
{txt}{space 6}ln_pop {c |}{col 14}{res}{space 2} .0857421{col 26}{space 2} .0364821{col 37}{space 1}    2.35{col 46}{space 3}0.021{col 54}{space 4} .0134283{col 67}{space 3} .1580559
{txt}{space 7}pts_a {c |}{col 14}{res}{space 2}  .044942{col 26}{space 2} .0351816{col 37}{space 1}    1.28{col 46}{space 3}0.204{col 54}{space 4} -.024794{col 67}{space 3}  .114678
{txt}{space 5}efindex {c |}{col 14}{res}{space 2} .3638226{col 26}{space 2} .1813596{col 37}{space 1}    2.01{col 46}{space 3}0.047{col 54}{space 4} .0043363{col 67}{space 3} .7233089
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -1.08712{col 26}{space 2} .7291862{col 37}{space 1}   -1.49{col 46}{space 3}0.139{col 54}{space 4}-2.532494{col 67}{space 3} .3582532
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * Results without the Taliban, Afghanistan (Table A9)
. regress lnkidnap infight_b c.lndeathsb kidnap_lag terror_lag soft_lag, cluster(panelid), if side_b != "Taleban"

{txt}Linear regression                               Number of obs     = {res}     1,386
                                                {txt}F(5, 181)         =  {res}    58.12
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4301
                                                {txt}Root MSE          =    {res} .97192

{txt}{ralign 78:(Std. err. adjusted for {res:182} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}infight_b {c |}{col 14}{res}{space 2} .7472881{col 26}{space 2} .1335806{col 37}{space 1}    5.59{col 46}{space 3}0.000{col 54}{space 4} .4837125{col 67}{space 3} 1.010864
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2}  .102064{col 26}{space 2} .0176665{col 37}{space 1}    5.78{col 46}{space 3}0.000{col 54}{space 4} .0672052{col 67}{space 3} .1369228
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0571126{col 26}{space 2} .0141493{col 37}{space 1}    4.04{col 46}{space 3}0.000{col 54}{space 4} .0291938{col 67}{space 3} .0850314
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0042531{col 26}{space 2} .0021305{col 37}{space 1}    2.00{col 46}{space 3}0.047{col 54}{space 4} .0000493{col 67}{space 3} .0084569
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}-.0065746{col 26}{space 2} .0037368{col 37}{space 1}   -1.76{col 46}{space 3}0.080{col 54}{space 4}-.0139478{col 67}{space 3} .0007987
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2199111{col 26}{space 2} .0568005{col 37}{space 1}    3.87{col 46}{space 3}0.000{col 54}{space 4} .1078349{col 67}{space 3} .3319873
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress lnkidnap i.infight_b c.lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag, cluster(panelid), if side_b != "Taleban"

{txt}Linear regression                               Number of obs     = {res}     1,386
                                                {txt}F(12, 181)        =  {res}    25.38
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4823
                                                {txt}Root MSE          =    {res} .92869

{txt}{ralign 78:(Std. err. adjusted for {res:182} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.infight_b {c |}{col 14}{res}{space 2} .7113083{col 26}{space 2} .1165232{col 37}{space 1}    6.10{col 46}{space 3}0.000{col 54}{space 4} .4813898{col 67}{space 3} .9412268
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .0697166{col 26}{space 2} .0154842{col 37}{space 1}    4.50{col 46}{space 3}0.000{col 54}{space 4} .0391638{col 67}{space 3} .1002695
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2}-.0538802{col 26}{space 2} .0927046{col 37}{space 1}   -0.58{col 46}{space 3}0.562{col 54}{space 4}-.2368009{col 67}{space 3} .1290406
{txt}{space 8}size {c |}{col 14}{res}{space 2} .0601475{col 26}{space 2} .0666415{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4}-.0713466{col 67}{space 3} .1916416
{txt}{space 9}nat {c |}{col 14}{res}{space 2}-.0722181{col 26}{space 2} .1454276{col 37}{space 1}   -0.50{col 46}{space 3}0.620{col 54}{space 4}-.3591696{col 67}{space 3} .2147334
{txt}{space 8}left {c |}{col 14}{res}{space 2} .2104667{col 26}{space 2} .1817137{col 37}{space 1}    1.16{col 46}{space 3}0.248{col 54}{space 4} -.148083{col 67}{space 3} .5690164
{txt}{space 9}rel {c |}{col 14}{res}{space 2}  .370028{col 26}{space 2} .1335963{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4} .1064215{col 67}{space 3} .6336346
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .3517707{col 26}{space 2} .1039019{col 37}{space 1}    3.39{col 46}{space 3}0.001{col 54}{space 4}  .146756{col 67}{space 3} .5567854
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .5098532{col 26}{space 2} .1160082{col 37}{space 1}    4.39{col 46}{space 3}0.000{col 54}{space 4} .2809509{col 67}{space 3} .7387556
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0481139{col 26}{space 2} .0111856{col 37}{space 1}    4.30{col 46}{space 3}0.000{col 54}{space 4} .0260429{col 67}{space 3} .0701849
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0030984{col 26}{space 2} .0015818{col 37}{space 1}    1.96{col 46}{space 3}0.052{col 54}{space 4}-.0000227{col 67}{space 3} .0062196
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}-.0045166{col 26}{space 2} .0025139{col 37}{space 1}   -1.80{col 46}{space 3}0.074{col 54}{space 4} -.009477{col 67}{space 3} .0004438
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1963803{col 26}{space 2} .2185466{col 37}{space 1}   -0.90{col 46}{space 3}0.370{col 54}{space 4} -.627607{col 67}{space 3} .2348464
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress lnkidnap infight_b c.lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag ln_gdp ln_pop pts_a efindex, cluster(panelid), if side_b != "Taleban"

{txt}Linear regression                               Number of obs     = {res}       734
                                                {txt}F(16, 107)        =  {res}   263.12
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5120
                                                {txt}Root MSE          =    {res} .75444

{txt}{ralign 78:(Std. err. adjusted for {res:108} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}infight_b {c |}{col 14}{res}{space 2}  .331855{col 26}{space 2} .0809244{col 37}{space 1}    4.10{col 46}{space 3}0.000{col 54}{space 4} .1714318{col 67}{space 3} .4922782
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .0934164{col 26}{space 2} .0153114{col 37}{space 1}    6.10{col 46}{space 3}0.000{col 54}{space 4} .0630634{col 67}{space 3} .1237694
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2}-.0540277{col 26}{space 2} .0892679{col 37}{space 1}   -0.61{col 46}{space 3}0.546{col 54}{space 4} -.230991{col 67}{space 3} .1229355
{txt}{space 8}size {c |}{col 14}{res}{space 2} .0130739{col 26}{space 2}   .05779{col 37}{space 1}    0.23{col 46}{space 3}0.821{col 54}{space 4} -.101488{col 67}{space 3} .1276358
{txt}{space 9}nat {c |}{col 14}{res}{space 2}-.0432042{col 26}{space 2} .1263767{col 37}{space 1}   -0.34{col 46}{space 3}0.733{col 54}{space 4}-.2937312{col 67}{space 3} .2073228
{txt}{space 8}left {c |}{col 14}{res}{space 2} .1460845{col 26}{space 2} .1678732{col 37}{space 1}    0.87{col 46}{space 3}0.386{col 54}{space 4}-.1867046{col 67}{space 3} .4788736
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .2515099{col 26}{space 2} .1313079{col 37}{space 1}    1.92{col 46}{space 3}0.058{col 54}{space 4}-.0087926{col 67}{space 3} .5118124
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .5120219{col 26}{space 2} .1116782{col 37}{space 1}    4.58{col 46}{space 3}0.000{col 54}{space 4} .2906329{col 67}{space 3} .7334109
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .2134784{col 26}{space 2} .1100345{col 37}{space 1}    1.94{col 46}{space 3}0.055{col 54}{space 4}-.0046522{col 67}{space 3}  .431609
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0967251{col 26}{space 2} .0119915{col 37}{space 1}    8.07{col 46}{space 3}0.000{col 54}{space 4} .0729533{col 67}{space 3}  .120497
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0003722{col 26}{space 2} .0021343{col 37}{space 1}    0.17{col 46}{space 3}0.862{col 54}{space 4}-.0038587{col 67}{space 3} .0046032
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2} .0003447{col 26}{space 2} .0042613{col 37}{space 1}    0.08{col 46}{space 3}0.936{col 54}{space 4}-.0081028{col 67}{space 3} .0087922
{txt}{space 6}ln_gdp {c |}{col 14}{res}{space 2}-.0804108{col 26}{space 2} .0321131{col 37}{space 1}   -2.50{col 46}{space 3}0.014{col 54}{space 4}-.1440712{col 67}{space 3}-.0167503
{txt}{space 6}ln_pop {c |}{col 14}{res}{space 2} .0921224{col 26}{space 2} .0376368{col 37}{space 1}    2.45{col 46}{space 3}0.016{col 54}{space 4} .0175118{col 67}{space 3}  .166733
{txt}{space 7}pts_a {c |}{col 14}{res}{space 2} .0370212{col 26}{space 2} .0358439{col 37}{space 1}    1.03{col 46}{space 3}0.304{col 54}{space 4}-.0340351{col 67}{space 3} .1080776
{txt}{space 5}efindex {c |}{col 14}{res}{space 2} .3643868{col 26}{space 2} .1795624{col 37}{space 1}    2.03{col 46}{space 3}0.045{col 54}{space 4} .0084254{col 67}{space 3} .7203483
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-1.535272{col 26}{space 2} .7614746{col 37}{space 1}   -2.02{col 46}{space 3}0.046{col 54}{space 4}-3.044806{col 67}{space 3}-.0257371
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * Results without Yearly Battle Deaths Limitation (Table A10)
. use tac_allyears.dta, clear
{txt}
{com}. 
. regress lnkidnap infight_b c.lndeathsb kidnap_lag terror_lag softratio_lag, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}       999
                                                {txt}F(5, 176)         =  {res}    76.28
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4763
                                                {txt}Root MSE          =    {res}  1.042

{txt}{ralign 79:(Std. err. adjusted for {res:177} clusters in {res:panelid})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     lnkidnap{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      t{col 47}   P>|t|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}infight_b {c |}{col 15}{res}{space 2} 1.101639{col 27}{space 2} .1549025{col 38}{space 1}    7.11{col 47}{space 3}0.000{col 55}{space 4} .7959333{col 68}{space 3} 1.407344
{txt}{space 4}lndeathsb {c |}{col 15}{res}{space 2} .0824655{col 27}{space 2} .0209983{col 38}{space 1}    3.93{col 47}{space 3}0.000{col 55}{space 4} .0410246{col 68}{space 3} .1239063
{txt}{space 3}kidnap_lag {c |}{col 15}{res}{space 2} .0534233{col 27}{space 2}  .011806{col 38}{space 1}    4.53{col 47}{space 3}0.000{col 55}{space 4} .0301236{col 68}{space 3} .0767229
{txt}{space 3}terror_lag {c |}{col 15}{res}{space 2}-.0002668{col 27}{space 2} .0007818{col 38}{space 1}   -0.34{col 47}{space 3}0.733{col 55}{space 4}-.0018097{col 68}{space 3} .0012761
{txt}softratio_lag {c |}{col 15}{res}{space 2} .0275344{col 27}{space 2} .0919956{col 38}{space 1}    0.30{col 47}{space 3}0.765{col 55}{space 4}-.1540221{col 68}{space 3} .2090909
{txt}{space 8}_cons {c |}{col 15}{res}{space 2} .2655541{col 27}{space 2} .0994154{col 38}{space 1}    2.67{col 47}{space 3}0.008{col 55}{space 4} .0693544{col 68}{space 3} .4617539
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress lnkidnap infight_b lndeathsb size nat left rel regimetype territory kidnap_lag terror_lag softratio_lag, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}       999
                                                {txt}F(11, 176)        =  {res}    37.79
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5249
                                                {txt}Root MSE          =    {res} .99544

{txt}{ralign 79:(Std. err. adjusted for {res:177} clusters in {res:panelid})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     lnkidnap{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      t{col 47}   P>|t|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}infight_b {c |}{col 15}{res}{space 2} 1.003641{col 27}{space 2} .1405286{col 38}{space 1}    7.14{col 47}{space 3}0.000{col 55}{space 4} .7263029{col 68}{space 3} 1.280979
{txt}{space 4}lndeathsb {c |}{col 15}{res}{space 2} .0576066{col 27}{space 2}  .016402{col 38}{space 1}    3.51{col 47}{space 3}0.001{col 55}{space 4} .0252366{col 68}{space 3} .0899766
{txt}{space 9}size {c |}{col 15}{res}{space 2} .0759327{col 27}{space 2} .0840361{col 38}{space 1}    0.90{col 47}{space 3}0.367{col 55}{space 4}-.0899155{col 68}{space 3} .2417809
{txt}{space 10}nat {c |}{col 15}{res}{space 2}  .044513{col 27}{space 2} .1519715{col 38}{space 1}    0.29{col 47}{space 3}0.770{col 55}{space 4} -.255408{col 68}{space 3}  .344434
{txt}{space 9}left {c |}{col 15}{res}{space 2} .4944038{col 27}{space 2} .2043652{col 38}{space 1}    2.42{col 47}{space 3}0.017{col 55}{space 4}  .091082{col 68}{space 3} .8977257
{txt}{space 10}rel {c |}{col 15}{res}{space 2} .3788136{col 27}{space 2}  .149204{col 38}{space 1}    2.54{col 47}{space 3}0.012{col 55}{space 4} .0843543{col 68}{space 3} .6732729
{txt}{space 3}regimetype {c |}{col 15}{res}{space 2} .2259632{col 27}{space 2} .1221154{col 38}{space 1}    1.85{col 47}{space 3}0.066{col 55}{space 4}-.0150358{col 68}{space 3} .4669621
{txt}{space 4}territory {c |}{col 15}{res}{space 2} .4862482{col 27}{space 2} .1344537{col 38}{space 1}    3.62{col 47}{space 3}0.000{col 55}{space 4} .2208993{col 68}{space 3} .7515972
{txt}{space 3}kidnap_lag {c |}{col 15}{res}{space 2} .0466892{col 27}{space 2} .0102913{col 38}{space 1}    4.54{col 47}{space 3}0.000{col 55}{space 4} .0263789{col 68}{space 3} .0669995
{txt}{space 3}terror_lag {c |}{col 15}{res}{space 2}-.0000838{col 27}{space 2} .0007188{col 38}{space 1}   -0.12{col 47}{space 3}0.907{col 55}{space 4}-.0015024{col 68}{space 3} .0013347
{txt}softratio_lag {c |}{col 15}{res}{space 2} .0647071{col 27}{space 2} .0848944{col 38}{space 1}    0.76{col 47}{space 3}0.447{col 55}{space 4} -.102835{col 68}{space 3} .2322492
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-.3138753{col 27}{space 2} .2571714{col 38}{space 1}   -1.22{col 47}{space 3}0.224{col 55}{space 4}-.8214118{col 68}{space 3} .1936612
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress lnkidnap infight_b lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag softratio_lag ln_gdp, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}       918
                                                {txt}F(13, 159)        =  {res}    26.25
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5294
                                                {txt}Root MSE          =    {res} .99182

{txt}{ralign 79:(Std. err. adjusted for {res:160} clusters in {res:panelid})}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}     lnkidnap{col 15}{c |} Coefficient{col 27}  std. err.{col 39}      t{col 47}   P>|t|{col 55}     [95% con{col 68}f. interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}infight_b {c |}{col 15}{res}{space 2} .9366067{col 27}{space 2} .1463601{col 38}{space 1}    6.40{col 47}{space 3}0.000{col 55}{space 4}  .647546{col 68}{space 3} 1.225667
{txt}{space 4}lndeathsb {c |}{col 15}{res}{space 2} .0652929{col 27}{space 2} .0189398{col 38}{space 1}    3.45{col 47}{space 3}0.001{col 55}{space 4} .0278869{col 68}{space 3}  .102699
{txt}{space 2}foreignspon {c |}{col 15}{res}{space 2}-.1559017{col 27}{space 2} .1081312{col 38}{space 1}   -1.44{col 47}{space 3}0.151{col 55}{space 4}-.3694604{col 68}{space 3}  .057657
{txt}{space 9}size {c |}{col 15}{res}{space 2} .0458165{col 27}{space 2} .0857791{col 38}{space 1}    0.53{col 47}{space 3}0.594{col 55}{space 4}-.1235969{col 68}{space 3} .2152298
{txt}{space 10}nat {c |}{col 15}{res}{space 2}-.0219209{col 27}{space 2} .1760079{col 38}{space 1}   -0.12{col 47}{space 3}0.901{col 55}{space 4}-.3695358{col 68}{space 3}  .325694
{txt}{space 9}left {c |}{col 15}{res}{space 2} .3856958{col 27}{space 2}  .207273{col 38}{space 1}    1.86{col 47}{space 3}0.065{col 55}{space 4}-.0236675{col 68}{space 3} .7950592
{txt}{space 10}rel {c |}{col 15}{res}{space 2} .3176182{col 27}{space 2} .1741503{col 38}{space 1}    1.82{col 47}{space 3}0.070{col 55}{space 4}-.0263281{col 68}{space 3} .6615644
{txt}{space 3}regimetype {c |}{col 15}{res}{space 2} .2606939{col 27}{space 2} .1218538{col 38}{space 1}    2.14{col 47}{space 3}0.034{col 55}{space 4}  .020033{col 68}{space 3} .5013547
{txt}{space 4}territory {c |}{col 15}{res}{space 2} .5614924{col 27}{space 2} .1411827{col 38}{space 1}    3.98{col 47}{space 3}0.000{col 55}{space 4} .2826571{col 68}{space 3} .8403276
{txt}{space 3}kidnap_lag {c |}{col 15}{res}{space 2} .0463749{col 27}{space 2} .0103443{col 38}{space 1}    4.48{col 47}{space 3}0.000{col 55}{space 4}  .025945{col 68}{space 3} .0668049
{txt}{space 3}terror_lag {c |}{col 15}{res}{space 2} 1.41e-06{col 27}{space 2}   .00067{col 38}{space 1}    0.00{col 47}{space 3}0.998{col 55}{space 4}-.0013219{col 68}{space 3} .0013247
{txt}softratio_lag {c |}{col 15}{res}{space 2} .0512449{col 27}{space 2} .0848296{col 38}{space 1}    0.60{col 47}{space 3}0.547{col 55}{space 4}-.1162932{col 68}{space 3} .2187831
{txt}{space 7}ln_gdp {c |}{col 15}{res}{space 2} -.006506{col 27}{space 2} .0393543{col 38}{space 1}   -0.17{col 47}{space 3}0.869{col 55}{space 4}-.0842306{col 68}{space 3} .0712185
{txt}{space 8}_cons {c |}{col 15}{res}{space 2}-.1263577{col 27}{space 2} .4419262{col 38}{space 1}   -0.29{col 47}{space 3}0.775{col 55}{space 4}-.9991602{col 68}{space 3} .7464449
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * Ransom and Non-Ransom Kidnappings Placebo (Table A11)
. use welsh23_macro.dta, clear
{txt}
{com}. 
. regress lnkidnap infight_b lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}     1,404
                                                {txt}F(12, 182)        =  {res}    36.55
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4914
                                                {txt}Root MSE          =    {res} .94986

{txt}{ralign 78:(Std. err. adjusted for {res:183} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}infight_b {c |}{col 14}{res}{space 2} .8003725{col 26}{space 2} .1389111{col 37}{space 1}    5.76{col 46}{space 3}0.000{col 54}{space 4} .5262892{col 67}{space 3} 1.074456
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .0752018{col 26}{space 2} .0157414{col 37}{space 1}    4.78{col 46}{space 3}0.000{col 54}{space 4} .0441427{col 67}{space 3}  .106261
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2}-.0341664{col 26}{space 2} .0936395{col 37}{space 1}   -0.36{col 46}{space 3}0.716{col 54}{space 4}-.2189251{col 67}{space 3} .1505923
{txt}{space 8}size {c |}{col 14}{res}{space 2} .0698454{col 26}{space 2} .0696874{col 37}{space 1}    1.00{col 46}{space 3}0.318{col 54}{space 4}-.0676537{col 67}{space 3} .2073444
{txt}{space 9}nat {c |}{col 14}{res}{space 2}-.1208323{col 26}{space 2} .1542824{col 37}{space 1}   -0.78{col 46}{space 3}0.435{col 54}{space 4}-.4252444{col 67}{space 3} .1835798
{txt}{space 8}left {c |}{col 14}{res}{space 2} .1907497{col 26}{space 2} .1851735{col 37}{space 1}    1.03{col 46}{space 3}0.304{col 54}{space 4}-.1746131{col 67}{space 3} .5561125
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .2957813{col 26}{space 2} .1538127{col 37}{space 1}    1.92{col 46}{space 3}0.056{col 54}{space 4}-.0077041{col 67}{space 3} .5992667
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .3444697{col 26}{space 2} .1067119{col 37}{space 1}    3.23{col 46}{space 3}0.001{col 54}{space 4} .1339181{col 67}{space 3} .5550213
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .5189975{col 26}{space 2} .1173428{col 37}{space 1}    4.42{col 46}{space 3}0.000{col 54}{space 4} .2874703{col 67}{space 3} .7505248
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0438271{col 26}{space 2} .0098207{col 37}{space 1}    4.46{col 46}{space 3}0.000{col 54}{space 4} .0244501{col 67}{space 3} .0632041
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0001298{col 26}{space 2} .0020011{col 37}{space 1}    0.06{col 46}{space 3}0.948{col 54}{space 4}-.0038186{col 67}{space 3} .0040782
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}  -.00015{col 26}{space 2} .0033072{col 37}{space 1}   -0.05{col 46}{space 3}0.964{col 54}{space 4}-.0066754{col 67}{space 3} .0063755
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1910372{col 26}{space 2} .2248508{col 37}{space 1}   -0.85{col 46}{space 3}0.397{col 54}{space 4}-.6346868{col 67}{space 3} .2526123
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress lnkidnap i.infight_b c.lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag, cluster(panelid), if ransomrequest == 1

{txt}Linear regression                               Number of obs     = {res}        98
                                                {txt}F(12, 42)         =  {res}    51.67
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.6196
                                                {txt}Root MSE          =    {res} .84673

{txt}{ralign 78:(Std. err. adjusted for {res:43} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.infight_b {c |}{col 14}{res}{space 2} .4804085{col 26}{space 2} .1918533{col 37}{space 1}    2.50{col 46}{space 3}0.016{col 54}{space 4} .0932328{col 67}{space 3} .8675842
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .1121655{col 26}{space 2} .0491669{col 37}{space 1}    2.28{col 46}{space 3}0.028{col 54}{space 4} .0129426{col 67}{space 3} .2113884
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2} .0496513{col 26}{space 2} .2241073{col 37}{space 1}    0.22{col 46}{space 3}0.826{col 54}{space 4}-.4026154{col 67}{space 3} .5019181
{txt}{space 8}size {c |}{col 14}{res}{space 2} .0695378{col 26}{space 2} .1010629{col 37}{space 1}    0.69{col 46}{space 3}0.495{col 54}{space 4}-.1344154{col 67}{space 3}  .273491
{txt}{space 9}nat {c |}{col 14}{res}{space 2} .2728651{col 26}{space 2} .2860127{col 37}{space 1}    0.95{col 46}{space 3}0.346{col 54}{space 4} -.304332{col 67}{space 3} .8500621
{txt}{space 8}left {c |}{col 14}{res}{space 2} .5016504{col 26}{space 2} .1688703{col 37}{space 1}    2.97{col 46}{space 3}0.005{col 54}{space 4} .1608564{col 67}{space 3} .8424444
{txt}{space 9}rel {c |}{col 14}{res}{space 2}  .150184{col 26}{space 2} .2647012{col 37}{space 1}    0.57{col 46}{space 3}0.573{col 54}{space 4}-.3840046{col 67}{space 3} .6843726
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2}-.3019247{col 26}{space 2}  .221193{col 37}{space 1}   -1.36{col 46}{space 3}0.180{col 54}{space 4}-.7483104{col 67}{space 3} .1444609
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .5245996{col 26}{space 2} .2158284{col 37}{space 1}    2.43{col 46}{space 3}0.019{col 54}{space 4} .0890402{col 67}{space 3}  .960159
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0225566{col 26}{space 2} .0210553{col 37}{space 1}    1.07{col 46}{space 3}0.290{col 54}{space 4}-.0199347{col 67}{space 3} .0650479
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0018109{col 26}{space 2} .0022364{col 37}{space 1}    0.81{col 46}{space 3}0.423{col 54}{space 4}-.0027024{col 67}{space 3} .0063243
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}-.0023106{col 26}{space 2} .0023091{col 37}{space 1}   -1.00{col 46}{space 3}0.323{col 54}{space 4}-.0069705{col 67}{space 3} .0023493
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.143691{col 26}{space 2}  .435385{col 37}{space 1}    2.63{col 46}{space 3}0.012{col 54}{space 4} .2650485{col 67}{space 3} 2.022334
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress lnkidnap i.infight_b c.lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag, cluster(panelid), if ransomrequest == 0

{txt}Linear regression                               Number of obs     = {res}     1,247
                                                {txt}F(12, 180)        =  {res}    18.47
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4401
                                                {txt}Root MSE          =    {res} .82738

{txt}{ralign 78:(Std. err. adjusted for {res:181} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.infight_b {c |}{col 14}{res}{space 2} .6642623{col 26}{space 2} .1141794{col 37}{space 1}    5.82{col 46}{space 3}0.000{col 54}{space 4}   .43896{col 67}{space 3} .8895646
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .0585791{col 26}{space 2} .0139139{col 37}{space 1}    4.21{col 46}{space 3}0.000{col 54}{space 4} .0311238{col 67}{space 3} .0860345
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2}-.0651677{col 26}{space 2} .0743606{col 37}{space 1}   -0.88{col 46}{space 3}0.382{col 54}{space 4}-.2118983{col 67}{space 3}  .081563
{txt}{space 8}size {c |}{col 14}{res}{space 2} .0543847{col 26}{space 2} .0542216{col 37}{space 1}    1.00{col 46}{space 3}0.317{col 54}{space 4}-.0526072{col 67}{space 3} .1613765
{txt}{space 9}nat {c |}{col 14}{res}{space 2}-.0123323{col 26}{space 2} .1123972{col 37}{space 1}   -0.11{col 46}{space 3}0.913{col 54}{space 4} -.234118{col 67}{space 3} .2094533
{txt}{space 8}left {c |}{col 14}{res}{space 2} .2025063{col 26}{space 2} .1373986{col 37}{space 1}    1.47{col 46}{space 3}0.142{col 54}{space 4}-.0686128{col 67}{space 3} .4736253
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .2822052{col 26}{space 2} .1170821{col 37}{space 1}    2.41{col 46}{space 3}0.017{col 54}{space 4} .0511753{col 67}{space 3} .5132351
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .1904378{col 26}{space 2} .0816682{col 37}{space 1}    2.33{col 46}{space 3}0.021{col 54}{space 4} .0292877{col 67}{space 3}  .351588
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .3561303{col 26}{space 2} .0884347{col 37}{space 1}    4.03{col 46}{space 3}0.000{col 54}{space 4} .1816282{col 67}{space 3} .5306324
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2}   .04024{col 26}{space 2} .0111473{col 37}{space 1}    3.61{col 46}{space 3}0.000{col 54}{space 4} .0182438{col 67}{space 3} .0622362
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0029504{col 26}{space 2} .0021289{col 37}{space 1}    1.39{col 46}{space 3}0.167{col 54}{space 4}-.0012504{col 67}{space 3} .0071513
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}-.0022299{col 26}{space 2} .0038191{col 37}{space 1}   -0.58{col 46}{space 3}0.560{col 54}{space 4} -.009766{col 67}{space 3} .0053061
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1729245{col 26}{space 2} .1605044{col 37}{space 1}   -1.08{col 46}{space 3}0.283{col 54}{space 4}-.4896368{col 67}{space 3} .1437878
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * Victims of Kidnapping Attacks Placebo (Table A12)
. regress govtkidnap i.infight_b c.lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag, cluster(panelid), if territory == 0
{txt}{p 0 6 2}note: {bf:territory} omitted because of collinearity.{p_end}

Linear regression                               Number of obs     = {res}       935
                                                {txt}F(11, 136)        =  {res}    11.68
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3694
                                                {txt}Root MSE          =    {res} 1.2892

{txt}{ralign 78:(Std. err. adjusted for {res:137} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  govtkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.infight_b {c |}{col 14}{res}{space 2} .7103539{col 26}{space 2} .2708169{col 37}{space 1}    2.62{col 46}{space 3}0.010{col 54}{space 4}  .174797{col 67}{space 3} 1.245911
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .0288254{col 26}{space 2} .0150893{col 37}{space 1}    1.91{col 46}{space 3}0.058{col 54}{space 4}-.0010145{col 67}{space 3} .0586654
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2}-.0770299{col 26}{space 2} .1482943{col 37}{space 1}   -0.52{col 46}{space 3}0.604{col 54}{space 4}-.3702909{col 67}{space 3} .2162311
{txt}{space 8}size {c |}{col 14}{res}{space 2}-.0417341{col 26}{space 2} .0769299{col 37}{space 1}   -0.54{col 46}{space 3}0.588{col 54}{space 4}-.1938676{col 67}{space 3} .1103994
{txt}{space 9}nat {c |}{col 14}{res}{space 2}-.0185232{col 26}{space 2} .1164471{col 37}{space 1}   -0.16{col 46}{space 3}0.874{col 54}{space 4}-.2488043{col 67}{space 3}  .211758
{txt}{space 8}left {c |}{col 14}{res}{space 2}-.0256317{col 26}{space 2} .1350198{col 37}{space 1}   -0.19{col 46}{space 3}0.850{col 54}{space 4}-.2926416{col 67}{space 3} .2413782
{txt}{space 9}rel {c |}{col 14}{res}{space 2}  .163888{col 26}{space 2} .1203254{col 37}{space 1}    1.36{col 46}{space 3}0.175{col 54}{space 4}-.0740627{col 67}{space 3} .4018388
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .0784126{col 26}{space 2} .0883403{col 37}{space 1}    0.89{col 46}{space 3}0.376{col 54}{space 4}-.0962858{col 67}{space 3} .2531109
{txt}{space 3}territory {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .1579298{col 26}{space 2} .0299705{col 37}{space 1}    5.27{col 46}{space 3}0.000{col 54}{space 4} .0986614{col 67}{space 3} .2171983
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0245115{col 26}{space 2} .0171654{col 37}{space 1}    1.43{col 46}{space 3}0.156{col 54}{space 4}-.0094341{col 67}{space 3}  .058457
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}-.0397973{col 26}{space 2} .0257068{col 37}{space 1}   -1.55{col 46}{space 3}0.124{col 54}{space 4}-.0906341{col 67}{space 3} .0110395
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0119435{col 26}{space 2} .2518283{col 37}{space 1}    0.05{col 46}{space 3}0.962{col 54}{space 4}-.4860623{col 67}{space 3} .5099494
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress kidnapcivilian i.infight_b c.lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}     1,404
                                                {txt}F(12, 182)        =  {res}    26.66
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5502
                                                {txt}Root MSE          =    {res} 5.1072

{txt}{ralign 78:(Std. err. adjusted for {res:183} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}kidnapcivi~n{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.infight_b {c |}{col 14}{res}{space 2}  1.85015{col 26}{space 2} .6694765{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .5292168{col 67}{space 3} 3.171083
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .1295306{col 26}{space 2}  .064974{col 37}{space 1}    1.99{col 46}{space 3}0.048{col 54}{space 4} .0013314{col 67}{space 3} .2577299
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2}-.4405322{col 26}{space 2}  .397417{col 37}{space 1}   -1.11{col 46}{space 3}0.269{col 54}{space 4}-1.224669{col 67}{space 3} .3436051
{txt}{space 8}size {c |}{col 14}{res}{space 2} .1737394{col 26}{space 2} .2369025{col 37}{space 1}    0.73{col 46}{space 3}0.464{col 54}{space 4}-.2936892{col 67}{space 3}  .641168
{txt}{space 9}nat {c |}{col 14}{res}{space 2} -1.16643{col 26}{space 2} .6167533{col 37}{space 1}   -1.89{col 46}{space 3}0.060{col 54}{space 4}-2.383336{col 67}{space 3}  .050476
{txt}{space 8}left {c |}{col 14}{res}{space 2}-1.364848{col 26}{space 2} .7657002{col 37}{space 1}   -1.78{col 46}{space 3}0.076{col 54}{space 4}-2.875638{col 67}{space 3} .1459431
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .2189026{col 26}{space 2} .7574539{col 37}{space 1}    0.29{col 46}{space 3}0.773{col 54}{space 4}-1.275618{col 67}{space 3} 1.713423
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .1179161{col 26}{space 2} .3454613{col 37}{space 1}    0.34{col 46}{space 3}0.733{col 54}{space 4}-.5637081{col 67}{space 3} .7995404
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .8277944{col 26}{space 2} .3610214{col 37}{space 1}    2.29{col 46}{space 3}0.023{col 54}{space 4} .1154688{col 67}{space 3}  1.54012
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .2941661{col 26}{space 2} .0641721{col 37}{space 1}    4.58{col 46}{space 3}0.000{col 54}{space 4} .1675492{col 67}{space 3}  .420783
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0283418{col 26}{space 2} .0161294{col 37}{space 1}    1.76{col 46}{space 3}0.081{col 54}{space 4} -.003483{col 67}{space 3} .0601665
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2} -.013853{col 26}{space 2} .0277201{col 37}{space 1}   -0.50{col 46}{space 3}0.618{col 54}{space 4}-.0685472{col 67}{space 3} .0408411
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1073489{col 26}{space 2} .8731069{col 37}{space 1}   -0.12{col 46}{space 3}0.902{col 54}{space 4}-1.830062{col 67}{space 3} 1.615364
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress lnkidnap i.infight_b c.lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag, cluster(panelid), if victim_f == 0

{txt}Linear regression                               Number of obs     = {res}     1,172
                                                {txt}F(12, 178)        =  {res}    23.73
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4122
                                                {txt}Root MSE          =    {res} .79136

{txt}{ralign 78:(Std. err. adjusted for {res:179} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.infight_b {c |}{col 14}{res}{space 2} .5300249{col 26}{space 2} .1020873{col 37}{space 1}    5.19{col 46}{space 3}0.000{col 54}{space 4} .3285678{col 67}{space 3} .7314821
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .0564148{col 26}{space 2} .0122764{col 37}{space 1}    4.60{col 46}{space 3}0.000{col 54}{space 4} .0321888{col 67}{space 3} .0806407
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2}-.0211649{col 26}{space 2} .0835377{col 37}{space 1}   -0.25{col 46}{space 3}0.800{col 54}{space 4}-.1860166{col 67}{space 3} .1436868
{txt}{space 8}size {c |}{col 14}{res}{space 2} .0490521{col 26}{space 2} .0524541{col 37}{space 1}    0.94{col 46}{space 3}0.351{col 54}{space 4}-.0544598{col 67}{space 3}  .152564
{txt}{space 9}nat {c |}{col 14}{res}{space 2}  .046659{col 26}{space 2} .1056758{col 37}{space 1}    0.44{col 46}{space 3}0.659{col 54}{space 4}-.1618796{col 67}{space 3} .2551977
{txt}{space 8}left {c |}{col 14}{res}{space 2} .2189047{col 26}{space 2} .1296666{col 37}{space 1}    1.69{col 46}{space 3}0.093{col 54}{space 4}-.0369768{col 67}{space 3} .4747863
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .2400121{col 26}{space 2}  .119106{col 37}{space 1}    2.02{col 46}{space 3}0.045{col 54}{space 4} .0049706{col 67}{space 3} .4750537
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .3232372{col 26}{space 2} .0752761{col 37}{space 1}    4.29{col 46}{space 3}0.000{col 54}{space 4} .1746888{col 67}{space 3} .4717857
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .3398003{col 26}{space 2} .0805923{col 37}{space 1}    4.22{col 46}{space 3}0.000{col 54}{space 4} .1807611{col 67}{space 3} .4988395
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0549894{col 26}{space 2}  .011725{col 37}{space 1}    4.69{col 46}{space 3}0.000{col 54}{space 4} .0318515{col 67}{space 3} .0781273
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0031237{col 26}{space 2} .0016411{col 37}{space 1}    1.90{col 46}{space 3}0.059{col 54}{space 4}-.0001148{col 67}{space 3} .0063622
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}-.0053209{col 26}{space 2} .0027269{col 37}{space 1}   -1.95{col 46}{space 3}0.053{col 54}{space 4}-.0107021{col 67}{space 3} .0000603
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2573378{col 26}{space 2} .1414827{col 37}{space 1}   -1.82{col 46}{space 3}0.071{col 54}{space 4}-.5365371{col 67}{space 3} .0218616
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. * Attribution of Attacks (Table A13)
. regress lnkidnap i.infight_b c.lndeathsb kidnap_lag terror_lag soft_lag, cluster(panelid), if claimedplacebo == 0

{txt}Linear regression                               Number of obs     = {res}     1,119
                                                {txt}F(5, 168)         =  {res}    37.25
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3268
                                                {txt}Root MSE          =    {res} .70903

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.infight_b {c |}{col 14}{res}{space 2} .3548364{col 26}{space 2} .0791482{col 37}{space 1}    4.48{col 46}{space 3}0.000{col 54}{space 4} .1985833{col 67}{space 3} .5110896
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2}  .059038{col 26}{space 2} .0121465{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} .0350586{col 67}{space 3} .0830175
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .1209395{col 26}{space 2} .0155268{col 37}{space 1}    7.79{col 46}{space 3}0.000{col 54}{space 4} .0902866{col 67}{space 3} .1515923
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0034392{col 26}{space 2} .0031055{col 37}{space 1}    1.11{col 46}{space 3}0.270{col 54}{space 4}-.0026916{col 67}{space 3}   .00957
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}-.0048487{col 26}{space 2} .0059942{col 37}{space 1}   -0.81{col 46}{space 3}0.420{col 54}{space 4}-.0166823{col 67}{space 3}  .006985
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .0992097{col 26}{space 2} .0283708{col 37}{space 1}    3.50{col 46}{space 3}0.001{col 54}{space 4} .0432005{col 67}{space 3}  .155219
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress lnkidnap i.infight_b c.lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag, cluster(panelid), if claimedplacebo == 0

{txt}Linear regression                               Number of obs     = {res}     1,119
                                                {txt}F(12, 168)        =  {res}    23.22
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.3483
                                                {txt}Root MSE          =    {res} .69984

{txt}{ralign 78:(Std. err. adjusted for {res:169} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.infight_b {c |}{col 14}{res}{space 2} .3537963{col 26}{space 2} .0759614{col 37}{space 1}    4.66{col 46}{space 3}0.000{col 54}{space 4} .2038345{col 67}{space 3} .5037582
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .0512897{col 26}{space 2} .0120377{col 37}{space 1}    4.26{col 46}{space 3}0.000{col 54}{space 4}  .027525{col 67}{space 3} .0750544
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2}-.0593741{col 26}{space 2} .0606727{col 37}{space 1}   -0.98{col 46}{space 3}0.329{col 54}{space 4}-.1791533{col 67}{space 3}  .060405
{txt}{space 8}size {c |}{col 14}{res}{space 2} .0460922{col 26}{space 2}  .056017{col 37}{space 1}    0.82{col 46}{space 3}0.412{col 54}{space 4}-.0644958{col 67}{space 3} .1566802
{txt}{space 9}nat {c |}{col 14}{res}{space 2}-.0970625{col 26}{space 2} .1106527{col 37}{space 1}   -0.88{col 46}{space 3}0.382{col 54}{space 4}-.3155116{col 67}{space 3} .1213865
{txt}{space 8}left {c |}{col 14}{res}{space 2}  .068841{col 26}{space 2} .1389386{col 37}{space 1}    0.50{col 46}{space 3}0.621{col 54}{space 4}-.2054495{col 67}{space 3} .3431315
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .0135114{col 26}{space 2} .1107174{col 37}{space 1}    0.12{col 46}{space 3}0.903{col 54}{space 4}-.2050652{col 67}{space 3}  .232088
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2}  .179572{col 26}{space 2} .0672325{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0468426{col 67}{space 3} .3123014
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .1956072{col 26}{space 2} .0800424{col 37}{space 1}    2.44{col 46}{space 3}0.016{col 54}{space 4} .0375887{col 67}{space 3} .3536257
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .1110423{col 26}{space 2} .0148251{col 37}{space 1}    7.49{col 46}{space 3}0.000{col 54}{space 4} .0817749{col 67}{space 3} .1403098
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0024839{col 26}{space 2} .0027835{col 37}{space 1}    0.89{col 46}{space 3}0.373{col 54}{space 4}-.0030112{col 67}{space 3}  .007979
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}-.0033855{col 26}{space 2} .0054419{col 37}{space 1}   -0.62{col 46}{space 3}0.535{col 54}{space 4}-.0141289{col 67}{space 3} .0073578
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0632169{col 26}{space 2} .1780791{col 37}{space 1}   -0.35{col 46}{space 3}0.723{col 54}{space 4} -.414778{col 67}{space 3} .2883442
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress lnkidnap infight_b lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag ln_gdp ln_pop pts_a efindex, cluster(panelid), if claimedplacebo == 0

{txt}Linear regression                               Number of obs     = {res}       649
                                                {txt}F(16, 105)        =  {res}   116.27
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4501
                                                {txt}Root MSE          =    {res} .67957

{txt}{ralign 78:(Std. err. adjusted for {res:106} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}infight_b {c |}{col 14}{res}{space 2} .2703866{col 26}{space 2} .0896547{col 37}{space 1}    3.02{col 46}{space 3}0.003{col 54}{space 4} .0926178{col 67}{space 3} .4481554
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .0867239{col 26}{space 2} .0125177{col 37}{space 1}    6.93{col 46}{space 3}0.000{col 54}{space 4} .0619035{col 67}{space 3} .1115442
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2}-.0107818{col 26}{space 2} .0826623{col 37}{space 1}   -0.13{col 46}{space 3}0.896{col 54}{space 4}-.1746859{col 67}{space 3} .1531223
{txt}{space 8}size {c |}{col 14}{res}{space 2} .0116752{col 26}{space 2}  .065693{col 37}{space 1}    0.18{col 46}{space 3}0.859{col 54}{space 4} -.118582{col 67}{space 3} .1419323
{txt}{space 9}nat {c |}{col 14}{res}{space 2} .0308987{col 26}{space 2} .1181266{col 37}{space 1}    0.26{col 46}{space 3}0.794{col 54}{space 4}-.2033245{col 67}{space 3} .2651219
{txt}{space 8}left {c |}{col 14}{res}{space 2} .1644087{col 26}{space 2} .1615564{col 37}{space 1}    1.02{col 46}{space 3}0.311{col 54}{space 4}-.1559277{col 67}{space 3} .4847451
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .0852826{col 26}{space 2} .1225885{col 37}{space 1}    0.70{col 46}{space 3}0.488{col 54}{space 4}-.1577878{col 67}{space 3}  .328353
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .4770447{col 26}{space 2} .1026938{col 37}{space 1}    4.65{col 46}{space 3}0.000{col 54}{space 4} .2734219{col 67}{space 3} .6806676
{txt}{space 3}territory {c |}{col 14}{res}{space 2}  .026148{col 26}{space 2} .1090618{col 37}{space 1}    0.24{col 46}{space 3}0.811{col 54}{space 4}-.1901013{col 67}{space 3} .2423973
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .1085421{col 26}{space 2} .0124113{col 37}{space 1}    8.75{col 46}{space 3}0.000{col 54}{space 4} .0839328{col 67}{space 3} .1331513
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0016528{col 26}{space 2} .0021073{col 37}{space 1}    0.78{col 46}{space 3}0.435{col 54}{space 4}-.0025255{col 67}{space 3} .0058312
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}-.0016458{col 26}{space 2} .0044313{col 37}{space 1}   -0.37{col 46}{space 3}0.711{col 54}{space 4}-.0104322{col 67}{space 3} .0071406
{txt}{space 6}ln_gdp {c |}{col 14}{res}{space 2}-.1085079{col 26}{space 2} .0261493{col 37}{space 1}   -4.15{col 46}{space 3}0.000{col 54}{space 4}-.1603571{col 67}{space 3}-.0566586
{txt}{space 6}ln_pop {c |}{col 14}{res}{space 2}  .043893{col 26}{space 2} .0318598{col 37}{space 1}    1.38{col 46}{space 3}0.171{col 54}{space 4} -.019279{col 67}{space 3}  .107065
{txt}{space 7}pts_a {c |}{col 14}{res}{space 2} .0149628{col 26}{space 2} .0306747{col 37}{space 1}    0.49{col 46}{space 3}0.627{col 54}{space 4}-.0458595{col 67}{space 3}  .075785
{txt}{space 5}efindex {c |}{col 14}{res}{space 2} .1899845{col 26}{space 2} .1679813{col 37}{space 1}    1.13{col 46}{space 3}0.261{col 54}{space 4}-.1430914{col 67}{space 3} .5230604
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.3465108{col 26}{space 2} .6583051{col 37}{space 1}   -0.53{col 46}{space 3}0.600{col 54}{space 4}-1.651808{col 67}{space 3} .9587867
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. * Designation Placebo Tests (Table A14)
. regress lnkidnap i.infight_b c.lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag us_desig, cluster(panelid)

{txt}Linear regression                               Number of obs     = {res}     1,404
                                                {txt}F(13, 182)        =  {res}    33.30
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4936
                                                {txt}Root MSE          =    {res} .94812

{txt}{ralign 78:(Std. err. adjusted for {res:183} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.infight_b {c |}{col 14}{res}{space 2} .8000282{col 26}{space 2} .1395768{col 37}{space 1}    5.73{col 46}{space 3}0.000{col 54}{space 4} .5246315{col 67}{space 3} 1.075425
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .0735869{col 26}{space 2} .0160358{col 37}{space 1}    4.59{col 46}{space 3}0.000{col 54}{space 4}  .041947{col 67}{space 3} .1052268
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2}-.0291428{col 26}{space 2} .0928426{col 37}{space 1}   -0.31{col 46}{space 3}0.754{col 54}{space 4}-.2123291{col 67}{space 3} .1540435
{txt}{space 8}size {c |}{col 14}{res}{space 2} .0569529{col 26}{space 2} .0720579{col 37}{space 1}    0.79{col 46}{space 3}0.430{col 54}{space 4}-.0852233{col 67}{space 3} .1991292
{txt}{space 9}nat {c |}{col 14}{res}{space 2}-.1038451{col 26}{space 2} .1499567{col 37}{space 1}   -0.69{col 46}{space 3}0.490{col 54}{space 4}-.3997223{col 67}{space 3} .1920321
{txt}{space 8}left {c |}{col 14}{res}{space 2} .1794727{col 26}{space 2} .1781865{col 37}{space 1}    1.01{col 46}{space 3}0.315{col 54}{space 4}-.1721042{col 67}{space 3} .5310496
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .2761097{col 26}{space 2} .1534766{col 37}{space 1}    1.80{col 46}{space 3}0.074{col 54}{space 4}-.0267125{col 67}{space 3} .5789319
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .3232481{col 26}{space 2} .0984073{col 37}{space 1}    3.28{col 46}{space 3}0.001{col 54}{space 4} .1290823{col 67}{space 3}  .517414
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .4920657{col 26}{space 2} .1060004{col 37}{space 1}    4.64{col 46}{space 3}0.000{col 54}{space 4} .2829181{col 67}{space 3} .7012133
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0437443{col 26}{space 2} .0096195{col 37}{space 1}    4.55{col 46}{space 3}0.000{col 54}{space 4} .0247642{col 67}{space 3} .0627245
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0002696{col 26}{space 2} .0019495{col 37}{space 1}    0.14{col 46}{space 3}0.890{col 54}{space 4} -.003577{col 67}{space 3} .0041162
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2} -.000371{col 26}{space 2} .0032255{col 37}{space 1}   -0.12{col 46}{space 3}0.909{col 54}{space 4}-.0067352{col 67}{space 3} .0059932
{txt}{space 4}us_desig {c |}{col 14}{res}{space 2}  .216259{col 26}{space 2} .1750607{col 37}{space 1}    1.24{col 46}{space 3}0.218{col 54}{space 4}-.1291506{col 67}{space 3} .5616685
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1616791{col 26}{space 2} .2229321{col 37}{space 1}   -0.73{col 46}{space 3}0.469{col 54}{space 4}-.6015428{col 67}{space 3} .2781845
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress lnkidnap i.infight_b c.lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag, cluster(panelid), if us_desig == 0

{txt}Linear regression                               Number of obs     = {res}     1,246
                                                {txt}F(12, 182)        =  {res}    52.02
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.4656
                                                {txt}Root MSE          =    {res} .90388

{txt}{ralign 78:(Std. err. adjusted for {res:183} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.infight_b {c |}{col 14}{res}{space 2} .8625693{col 26}{space 2} .1535493{col 37}{space 1}    5.62{col 46}{space 3}0.000{col 54}{space 4} .5596036{col 67}{space 3} 1.165535
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .0761766{col 26}{space 2} .0153142{col 37}{space 1}    4.97{col 46}{space 3}0.000{col 54}{space 4} .0459604{col 67}{space 3} .1063927
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2}-.0169509{col 26}{space 2} .0875716{col 37}{space 1}   -0.19{col 46}{space 3}0.847{col 54}{space 4}-.1897369{col 67}{space 3} .1558352
{txt}{space 8}size {c |}{col 14}{res}{space 2} .0690265{col 26}{space 2}  .063728{col 37}{space 1}    1.08{col 46}{space 3}0.280{col 54}{space 4}-.0567141{col 67}{space 3} .1947671
{txt}{space 9}nat {c |}{col 14}{res}{space 2}-.0701372{col 26}{space 2} .1426571{col 37}{space 1}   -0.49{col 46}{space 3}0.624{col 54}{space 4}-.3516116{col 67}{space 3} .2113373
{txt}{space 8}left {c |}{col 14}{res}{space 2}  .076744{col 26}{space 2} .1585084{col 37}{space 1}    0.48{col 46}{space 3}0.629{col 54}{space 4}-.2360063{col 67}{space 3} .3894944
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .2558317{col 26}{space 2} .1710703{col 37}{space 1}    1.50{col 46}{space 3}0.137{col 54}{space 4}-.0817044{col 67}{space 3} .5933677
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .2340887{col 26}{space 2} .0901309{col 37}{space 1}    2.60{col 46}{space 3}0.010{col 54}{space 4}  .056253{col 67}{space 3} .4119245
{txt}{space 3}territory {c |}{col 14}{res}{space 2} .3383333{col 26}{space 2} .0973987{col 37}{space 1}    3.47{col 46}{space 3}0.001{col 54}{space 4} .1461574{col 67}{space 3} .5305092
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0522837{col 26}{space 2}  .010229{col 37}{space 1}    5.11{col 46}{space 3}0.000{col 54}{space 4} .0321009{col 67}{space 3} .0724665
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2}-.0001261{col 26}{space 2} .0022857{col 37}{space 1}   -0.06{col 46}{space 3}0.956{col 54}{space 4}-.0046361{col 67}{space 3} .0043839
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2}-.0008174{col 26}{space 2} .0042726{col 37}{space 1}   -0.19{col 46}{space 3}0.848{col 54}{space 4}-.0092477{col 67}{space 3} .0076128
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1248515{col 26}{space 2} .1924931{col 37}{space 1}   -0.65{col 46}{space 3}0.517{col 54}{space 4}-.5046566{col 67}{space 3} .2549536
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. regress lnkidnap i.infight_b c.lndeathsb foreignspon size nat left rel regimetype territory kidnap_lag terror_lag soft_lag us_desig, cluster(panelid), if us_desig == 1
{txt}{p 0 6 2}note: {bf:us_desig} omitted because of collinearity.{p_end}

Linear regression                               Number of obs     = {res}       158
                                                {txt}F(12, 17)         =  {res}  1615.85
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.5884
                                                {txt}Root MSE          =    {res} 1.1047

{txt}{ralign 78:(Std. err. adjusted for {res:18} clusters in {res:panelid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}    lnkidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}1.infight_b {c |}{col 14}{res}{space 2} .4137234{col 26}{space 2} .2199344{col 37}{space 1}    1.88{col 46}{space 3}0.077{col 54}{space 4}-.0502977{col 67}{space 3} .8777445
{txt}{space 3}lndeathsb {c |}{col 14}{res}{space 2} .1046985{col 26}{space 2} .0517155{col 37}{space 1}    2.02{col 46}{space 3}0.059{col 54}{space 4}-.0044115{col 67}{space 3} .2138086
{txt}{space 1}foreignspon {c |}{col 14}{res}{space 2} .0766598{col 26}{space 2}  .223577{col 37}{space 1}    0.34{col 46}{space 3}0.736{col 54}{space 4}-.3950466{col 67}{space 3} .5483661
{txt}{space 8}size {c |}{col 14}{res}{space 2} -.335763{col 26}{space 2} .1361238{col 37}{space 1}   -2.47{col 46}{space 3}0.025{col 54}{space 4} -.622959{col 67}{space 3}-.0485669
{txt}{space 9}nat {c |}{col 14}{res}{space 2}-.4803287{col 26}{space 2}  .271304{col 37}{space 1}   -1.77{col 46}{space 3}0.095{col 54}{space 4} -1.05273{col 67}{space 3} .0920728
{txt}{space 8}left {c |}{col 14}{res}{space 2} .6104121{col 26}{space 2} .3878484{col 37}{space 1}    1.57{col 46}{space 3}0.134{col 54}{space 4}-.2078766{col 67}{space 3} 1.428701
{txt}{space 9}rel {c |}{col 14}{res}{space 2} .5662418{col 26}{space 2} .1871281{col 37}{space 1}    3.03{col 46}{space 3}0.008{col 54}{space 4}  .171436{col 67}{space 3} .9610475
{txt}{space 2}regimetype {c |}{col 14}{res}{space 2} .7481202{col 26}{space 2} .3597734{col 37}{space 1}    2.08{col 46}{space 3}0.053{col 54}{space 4}-.0109353{col 67}{space 3} 1.507176
{txt}{space 3}territory {c |}{col 14}{res}{space 2} 1.489459{col 26}{space 2} .2521065{col 37}{space 1}    5.91{col 46}{space 3}0.000{col 54}{space 4} .9575608{col 67}{space 3} 2.021357
{txt}{space 2}kidnap_lag {c |}{col 14}{res}{space 2} .0029701{col 26}{space 2}  .012391{col 37}{space 1}    0.24{col 46}{space 3}0.813{col 54}{space 4}-.0231727{col 67}{space 3} .0291129
{txt}{space 2}terror_lag {c |}{col 14}{res}{space 2} .0037216{col 26}{space 2} .0038537{col 37}{space 1}    0.97{col 46}{space 3}0.348{col 54}{space 4} -.004409{col 67}{space 3} .0118522
{txt}{space 4}soft_lag {c |}{col 14}{res}{space 2} .0004027{col 26}{space 2} .0059395{col 37}{space 1}    0.07{col 46}{space 3}0.947{col 54}{space 4}-.0121286{col 67}{space 3} .0129341
{txt}{space 4}us_desig {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 7}_cons {c |}{col 14}{res}{space 2} .0232207{col 26}{space 2}  .552369{col 37}{space 1}    0.04{col 46}{space 3}0.967{col 54}{space 4}-1.142176{col 67}{space 3} 1.188617
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
{txt}end of do-file

{com}. do "/var/folders/lc/bh2lyhmj6bz7wf29yrkxtzxm0000gp/T//SD01187.000000"
{txt}
{com}. **************************************************
. * MICRO-LEVEL ANALYSIS
. **************************************************
. use taliban_2_sp.dta, clear 
{txt}
{com}. 
{txt}end of do-file

{com}. do "/var/folders/lc/bh2lyhmj6bz7wf29yrkxtzxm0000gp/T//SD01187.000000"
{txt}
{com}. * Create W
. spmatrix create contiguity W if iyear == 2018
{res}{err}weighting matrix {bf:W} already exists
{txt}{search r(110), local:r(110);}

end of do-file

{search r(110), local:r(110);}

{com}. do "/var/folders/lc/bh2lyhmj6bz7wf29yrkxtzxm0000gp/T//SD01187.000000"
{txt}
{com}. * Spatial Autoregressive Model (Table A15)
. spxtregress ln_kidnap infightv ln_deaths ln_kidnap_lag terr_minus_lag osv_lag, fe dvarlag(W)
{res}{txt}{col 3}(306 observations)
{col 3}(34 observations excluded due to missing values)
{col 3}(272 observations used)
{col 3}(data contain 34 panels (places) )
{col 3}(weighting matrix defines 34 places)
{res}{txt}
Performing grid search ... {txt}finished 
{txt}
Optimizing concentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-259.38481}  
Iteration 1:{space 2}Log likelihood = {res: -259.2526}  
Iteration 2:{space 2}Log likelihood = {res:-259.25258}  
{txt}
Optimizing unconcentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-259.25258}  
Iteration 1:{space 2}Log likelihood = {res:-259.25258}  (backed up)
{res}
{txt}Fixed-effects spatial regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{col 49}{txt}Number of groups{col 67}={col 69}{res}        34
{txt}{col 49}Obs per group{col 67}={col 69}{res}         8

{txt}{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}   121.84
{txt}{col 49}Prob > chi2{col 67}={col 73}{res}0.0000
{txt}Log likelihood = {res} -259.2526{col 49}{txt}Pseudo R2{col 67}={col 73}{res}0.3715

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     ln_kidnap{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ln_kidnap      {txt}{c |}
{space 6}infightv {c |}{col 16}{res}{space 2} .4092947{col 28}{space 2}  .151723{col 39}{space 1}    2.70{col 48}{space 3}0.007{col 56}{space 4}  .111923{col 69}{space 3} .7066664
{txt}{space 5}ln_deaths {c |}{col 16}{res}{space 2}  .288957{col 28}{space 2} .0574041{col 39}{space 1}    5.03{col 48}{space 3}0.000{col 56}{space 4}  .176447{col 69}{space 3} .4014669
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2}-.1025124{col 28}{space 2} .0613936{col 39}{space 1}   -1.67{col 48}{space 3}0.095{col 56}{space 4}-.2228417{col 69}{space 3} .0178168
{txt}terr_minus_lag {c |}{col 16}{res}{space 2} .0141058{col 28}{space 2} .0036187{col 39}{space 1}    3.90{col 48}{space 3}0.000{col 56}{space 4} .0070133{col 69}{space 3} .0211983
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2}-.0082277{col 28}{space 2} .0287648{col 39}{space 1}   -0.29{col 48}{space 3}0.775{col 56}{space 4}-.0646056{col 69}{space 3} .0481502
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}W              {txt}{c |}
{space 5}ln_kidnap {c |}{col 16}{res}{space 2} .2575751{col 28}{space 2} .0828749{col 39}{space 1}    3.11{col 48}{space 3}0.002{col 56}{space 4} .0951433{col 69}{space 3} .4200069
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
      /sigma_e {c |}{col 16}{res}{space 2} .7150338{col 28}{space 2}  .032891{col 56}{space 4} .6533892{col 69}{space 3} .7824942
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of spatial terms:{col 38}chi2({res}1{txt}) = {res}9.66    {col 59}{txt}Prob > chi2 = {res}0.0019
{txt}
{com}. spxtregress ln_kidnap infightv ln_deaths ln_pop territory ln_kidnap_lag terr_minus_lag osv_lag, fe dvarlag(W)
{res}{txt}{col 3}(306 observations)
{col 3}(34 observations excluded due to missing values)
{col 3}(272 observations used)
{col 3}(data contain 34 panels (places) )
{col 3}(weighting matrix defines 34 places)
{res}{txt}
Performing grid search ... {txt}finished 
{txt}
Optimizing concentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-258.75584}  
Iteration 1:{space 2}Log likelihood = {res:-258.58695}  
Iteration 2:{space 2}Log likelihood = {res:-258.58692}  
Iteration 3:{space 2}Log likelihood = {res:-258.58692}  
{txt}
Optimizing unconcentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-258.58692}  
Iteration 1:{space 2}Log likelihood = {res:-258.58692}  (backed up)
{res}
{txt}Fixed-effects spatial regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{col 49}{txt}Number of groups{col 67}={col 69}{res}        34
{txt}{col 49}Obs per group{col 67}={col 69}{res}         8

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   123.79
{txt}{col 49}Prob > chi2{col 67}={col 73}{res}0.0000
{txt}Log likelihood = {res} -258.5869{col 49}{txt}Pseudo R2{col 67}={col 73}{res}0.3780

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     ln_kidnap{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ln_kidnap      {txt}{c |}
{space 6}infightv {c |}{col 16}{res}{space 2} .4078715{col 28}{space 2} .1513443{col 39}{space 1}    2.69{col 48}{space 3}0.007{col 56}{space 4}  .111242{col 69}{space 3}  .704501
{txt}{space 5}ln_deaths {c |}{col 16}{res}{space 2} .2980346{col 28}{space 2} .0578014{col 39}{space 1}    5.16{col 48}{space 3}0.000{col 56}{space 4}  .184746{col 69}{space 3} .4113232
{txt}{space 8}ln_pop {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 5}territory {c |}{col 16}{res}{space 2}-.1879006{col 28}{space 2} .1626649{col 39}{space 1}   -1.16{col 48}{space 3}0.248{col 56}{space 4} -.506718{col 69}{space 3} .1309168
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2} -.108269{col 28}{space 2} .0614393{col 39}{space 1}   -1.76{col 48}{space 3}0.078{col 56}{space 4}-.2286877{col 69}{space 3} .0121498
{txt}terr_minus_lag {c |}{col 16}{res}{space 2}  .014832{col 28}{space 2} .0036652{col 39}{space 1}    4.05{col 48}{space 3}0.000{col 56}{space 4} .0076482{col 69}{space 3} .0220157
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2}-.0061314{col 28}{space 2} .0287489{col 39}{space 1}   -0.21{col 48}{space 3}0.831{col 56}{space 4}-.0624782{col 69}{space 3} .0502155
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}W              {txt}{c |}
{space 5}ln_kidnap {c |}{col 16}{res}{space 2} .2520062{col 28}{space 2} .0829867{col 39}{space 1}    3.04{col 48}{space 3}0.002{col 56}{space 4} .0893552{col 69}{space 3} .4146572
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
      /sigma_e {c |}{col 16}{res}{space 2} .7132204{col 28}{space 2} .0328021{col 56}{space 4} .6517419{col 69}{space 3} .7804982
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of spatial terms:{col 38}chi2({res}1{txt}) = {res}9.22    {col 59}{txt}Prob > chi2 = {res}0.0024
{txt}
{com}. 
. * Computed Effects
. * Substantive Effect for Battle Losses
. spxtregress ln_kidnap infightv ln_deaths ln_pop territory ln_kidnap_lag terr_minus_lag osv_lag, fe dvarlag(W)
{res}{txt}{col 3}(306 observations)
{col 3}(34 observations excluded due to missing values)
{col 3}(272 observations used)
{col 3}(data contain 34 panels (places) )
{col 3}(weighting matrix defines 34 places)
{res}{txt}
Performing grid search ... {txt}finished 
{txt}
Optimizing concentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-258.75584}  
Iteration 1:{space 2}Log likelihood = {res:-258.58695}  
Iteration 2:{space 2}Log likelihood = {res:-258.58692}  
Iteration 3:{space 2}Log likelihood = {res:-258.58692}  
{txt}
Optimizing unconcentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-258.58692}  
Iteration 1:{space 2}Log likelihood = {res:-258.58692}  (backed up)
{res}
{txt}Fixed-effects spatial regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{col 49}{txt}Number of groups{col 67}={col 69}{res}        34
{txt}{col 49}Obs per group{col 67}={col 69}{res}         8

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   123.79
{txt}{col 49}Prob > chi2{col 67}={col 73}{res}0.0000
{txt}Log likelihood = {res} -258.5869{col 49}{txt}Pseudo R2{col 67}={col 73}{res}0.3780

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     ln_kidnap{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ln_kidnap      {txt}{c |}
{space 6}infightv {c |}{col 16}{res}{space 2} .4078715{col 28}{space 2} .1513443{col 39}{space 1}    2.69{col 48}{space 3}0.007{col 56}{space 4}  .111242{col 69}{space 3}  .704501
{txt}{space 5}ln_deaths {c |}{col 16}{res}{space 2} .2980346{col 28}{space 2} .0578014{col 39}{space 1}    5.16{col 48}{space 3}0.000{col 56}{space 4}  .184746{col 69}{space 3} .4113232
{txt}{space 8}ln_pop {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 5}territory {c |}{col 16}{res}{space 2}-.1879006{col 28}{space 2} .1626649{col 39}{space 1}   -1.16{col 48}{space 3}0.248{col 56}{space 4} -.506718{col 69}{space 3} .1309168
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2} -.108269{col 28}{space 2} .0614393{col 39}{space 1}   -1.76{col 48}{space 3}0.078{col 56}{space 4}-.2286877{col 69}{space 3} .0121498
{txt}terr_minus_lag {c |}{col 16}{res}{space 2}  .014832{col 28}{space 2} .0036652{col 39}{space 1}    4.05{col 48}{space 3}0.000{col 56}{space 4} .0076482{col 69}{space 3} .0220157
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2}-.0061314{col 28}{space 2} .0287489{col 39}{space 1}   -0.21{col 48}{space 3}0.831{col 56}{space 4}-.0624782{col 69}{space 3} .0502155
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}W              {txt}{c |}
{space 5}ln_kidnap {c |}{col 16}{res}{space 2} .2520062{col 28}{space 2} .0829867{col 39}{space 1}    3.04{col 48}{space 3}0.002{col 56}{space 4} .0893552{col 69}{space 3} .4146572
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
      /sigma_e {c |}{col 16}{res}{space 2} .7132204{col 28}{space 2} .0328021{col 56}{space 4} .6517419{col 69}{space 3} .7804982
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of spatial terms:{col 38}chi2({res}1{txt}) = {res}9.22    {col 59}{txt}Prob > chi2 = {res}0.0024
{txt}
{com}. estat impact ln_deaths
{res}
{txt}progress{col 12}:{txt}100% 

Average impacts{col 49}Number of obs{col 67}={col 69}{res}       272

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-Method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}direct       {txt}{c |}
{space 3}ln_deaths {c |}{col 14}{res}{space 2} .3014673{col 26}{space 2} .0581978{col 37}{space 1}    5.18{col 46}{space 3}0.000{col 54}{space 4} .1874018{col 67}{space 3} .4155328
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}indirect     {txt}{c |}
{space 3}ln_deaths {c |}{col 14}{res}{space 2} .0836456{col 26}{space 2} .0371581{col 37}{space 1}    2.25{col 46}{space 3}0.024{col 54}{space 4} .0108171{col 67}{space 3} .1564742
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}total        {txt}{c |}
{space 3}ln_deaths {c |}{col 14}{res}{space 2}  .385113{col 26}{space 2} .0792347{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} .2298159{col 67}{space 3} .5404101
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, at(ln_deaths = (0(0.1)8)) predict(xb)
{res}
{txt}{col 1}Predictive margins{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:272}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict(xb)}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:0}}
{lalign 8:2._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:.1}}
{lalign 8:3._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:.2}}
{lalign 8:4._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:.3}}
{lalign 8:5._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:.4}}
{lalign 8:6._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:.5}}
{lalign 8:7._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:.6}}
{lalign 8:8._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:.7}}
{lalign 8:9._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:.8}}
{lalign 8:10._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:.9}}
{lalign 8:11._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:1}}
{lalign 8:12._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:1.1}}
{lalign 8:13._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:1.2}}
{lalign 8:14._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:1.3}}
{lalign 8:15._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:1.4}}
{lalign 8:16._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:1.5}}
{lalign 8:17._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:1.6}}
{lalign 8:18._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:1.7}}
{lalign 8:19._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:1.8}}
{lalign 8:20._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:1.9}}
{lalign 8:21._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:2}}
{lalign 8:22._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:2.1}}
{lalign 8:23._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:2.2}}
{lalign 8:24._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:2.3}}
{lalign 8:25._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:2.4}}
{lalign 8:26._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:2.5}}
{lalign 8:27._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:2.6}}
{lalign 8:28._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:2.7}}
{lalign 8:29._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:2.8}}
{lalign 8:30._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:2.9}}
{lalign 8:31._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:3}}
{lalign 8:32._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:3.1}}
{lalign 8:33._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:3.2}}
{lalign 8:34._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:3.3}}
{lalign 8:35._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:3.4}}
{lalign 8:36._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:3.5}}
{lalign 8:37._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:3.6}}
{lalign 8:38._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:3.7}}
{lalign 8:39._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:3.8}}
{lalign 8:40._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:3.9}}
{lalign 8:41._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:4}}
{lalign 8:42._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:4.1}}
{lalign 8:43._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:4.2}}
{lalign 8:44._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:4.3}}
{lalign 8:45._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:4.4}}
{lalign 8:46._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:4.5}}
{lalign 8:47._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:4.6}}
{lalign 8:48._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:4.7}}
{lalign 8:49._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:4.8}}
{lalign 8:50._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:4.9}}
{lalign 8:51._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:5}}
{lalign 8:52._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:5.1}}
{lalign 8:53._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:5.2}}
{lalign 8:54._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:5.3}}
{lalign 8:55._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:5.4}}
{lalign 8:56._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:5.5}}
{lalign 8:57._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:5.6}}
{lalign 8:58._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:5.7}}
{lalign 8:59._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:5.8}}
{lalign 8:60._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:5.9}}
{lalign 8:61._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:6}}
{lalign 8:62._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:6.1}}
{lalign 8:63._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:6.2}}
{lalign 8:64._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:6.3}}
{lalign 8:65._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:6.4}}
{lalign 8:66._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:6.5}}
{lalign 8:67._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:6.6}}
{lalign 8:68._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:6.7}}
{lalign 8:69._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:6.8}}
{lalign 8:70._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:6.9}}
{lalign 8:71._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:7}}
{lalign 8:72._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:7.1}}
{lalign 8:73._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:7.2}}
{lalign 8:74._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:7.3}}
{lalign 8:75._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:7.4}}
{lalign 8:76._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:7.5}}
{lalign 8:77._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:7.6}}
{lalign 8:78._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:7.7}}
{lalign 8:79._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:7.8}}
{lalign 8:80._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:7.9}}
{lalign 8:81._at: }{space 0}{lalign 9:ln_deaths} = {res:{ralign 3:8}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2199108{col 26}{space 2} .0943713{col 37}{space 1}    2.33{col 46}{space 3}0.020{col 54}{space 4} .0349465{col 67}{space 3}  .404875
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2497142{col 26}{space 2} .0926836{col 37}{space 1}    2.69{col 46}{space 3}0.007{col 54}{space 4} .0680578{col 67}{space 3} .4313706
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .2795177{col 26}{space 2} .0913311{col 37}{space 1}    3.06{col 46}{space 3}0.002{col 54}{space 4} .1005121{col 67}{space 3} .4585233
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3093211{col 26}{space 2} .0903289{col 37}{space 1}    3.42{col 46}{space 3}0.001{col 54}{space 4} .1322797{col 67}{space 3} .4863626
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .3391246{col 26}{space 2} .0896888{col 37}{space 1}    3.78{col 46}{space 3}0.000{col 54}{space 4} .1633378{col 67}{space 3} .5149114
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .3689281{col 26}{space 2} .0894185{col 37}{space 1}    4.13{col 46}{space 3}0.000{col 54}{space 4} .1936711{col 67}{space 3} .5441851
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .3987315{col 26}{space 2} .0895213{col 37}{space 1}    4.45{col 46}{space 3}0.000{col 54}{space 4} .2232729{col 67}{space 3} .5741901
{txt}{space 10}8  {c |}{col 14}{res}{space 2}  .428535{col 26}{space 2} .0899961{col 37}{space 1}    4.76{col 46}{space 3}0.000{col 54}{space 4} .2521459{col 67}{space 3} .6049241
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .4583384{col 26}{space 2} .0908369{col 37}{space 1}    5.05{col 46}{space 3}0.000{col 54}{space 4} .2803014{col 67}{space 3} .6363755
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .4881419{col 26}{space 2} .0920337{col 37}{space 1}    5.30{col 46}{space 3}0.000{col 54}{space 4} .3077591{col 67}{space 3} .6685247
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .5179454{col 26}{space 2} .0935729{col 37}{space 1}    5.54{col 46}{space 3}0.000{col 54}{space 4} .3345458{col 67}{space 3} .7013449
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .5477488{col 26}{space 2} .0954379{col 37}{space 1}    5.74{col 46}{space 3}0.000{col 54}{space 4} .3606939{col 67}{space 3} .7348037
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .5775523{col 26}{space 2}   .09761{col 37}{space 1}    5.92{col 46}{space 3}0.000{col 54}{space 4} .3862401{col 67}{space 3} .7688645
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .6073557{col 26}{space 2} .1000693{col 37}{space 1}    6.07{col 46}{space 3}0.000{col 54}{space 4} .4112235{col 67}{space 3} .8034879
{txt}{space 9}15  {c |}{col 14}{res}{space 2} .6371592{col 26}{space 2} .1027951{col 37}{space 1}    6.20{col 46}{space 3}0.000{col 54}{space 4} .4356845{col 67}{space 3} .8386339
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .6669626{col 26}{space 2} .1057668{col 37}{space 1}    6.31{col 46}{space 3}0.000{col 54}{space 4} .4596635{col 67}{space 3} .8742618
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .6967661{col 26}{space 2} .1089643{col 37}{space 1}    6.39{col 46}{space 3}0.000{col 54}{space 4}    .4832{col 67}{space 3} .9103322
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{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(line) recastci(rarea)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:ln_deaths}{p_end}
{res}{txt}
{com}. 
. * Directed Effects for Battle Losses
. spxtregress ln_kidnap i.infightv ln_deaths ln_pop territory ln_kidnap_lag terr_minus_lag osv_lag, fe dvarlag(W)
{res}{txt}{col 3}(306 observations)
{col 3}(34 observations excluded due to missing values)
{col 3}(272 observations used)
{col 3}(data contain 34 panels (places) )
{col 3}(weighting matrix defines 34 places)
{res}{txt}
Performing grid search ... {txt}finished 
{txt}
Optimizing concentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-258.75584}  
Iteration 1:{space 2}Log likelihood = {res:-258.58695}  
Iteration 2:{space 2}Log likelihood = {res:-258.58692}  
Iteration 3:{space 2}Log likelihood = {res:-258.58692}  
{txt}
Optimizing unconcentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-258.58692}  
Iteration 1:{space 2}Log likelihood = {res:-258.58692}  (backed up)
{res}
{txt}Fixed-effects spatial regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{col 49}{txt}Number of groups{col 67}={col 69}{res}        34
{txt}{col 49}Obs per group{col 67}={col 69}{res}         8

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   123.79
{txt}{col 49}Prob > chi2{col 67}={col 73}{res}0.0000
{txt}Log likelihood = {res} -258.5869{col 49}{txt}Pseudo R2{col 67}={col 73}{res}0.3780

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     ln_kidnap{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ln_kidnap      {txt}{c |}
{space 4}1.infightv {c |}{col 16}{res}{space 2} .4078715{col 28}{space 2} .1513443{col 39}{space 1}    2.69{col 48}{space 3}0.007{col 56}{space 4}  .111242{col 69}{space 3}  .704501
{txt}{space 5}ln_deaths {c |}{col 16}{res}{space 2} .2980346{col 28}{space 2} .0578014{col 39}{space 1}    5.16{col 48}{space 3}0.000{col 56}{space 4}  .184746{col 69}{space 3} .4113232
{txt}{space 8}ln_pop {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 5}territory {c |}{col 16}{res}{space 2}-.1879006{col 28}{space 2} .1626649{col 39}{space 1}   -1.16{col 48}{space 3}0.248{col 56}{space 4} -.506718{col 69}{space 3} .1309168
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2} -.108269{col 28}{space 2} .0614393{col 39}{space 1}   -1.76{col 48}{space 3}0.078{col 56}{space 4}-.2286877{col 69}{space 3} .0121498
{txt}terr_minus_lag {c |}{col 16}{res}{space 2}  .014832{col 28}{space 2} .0036652{col 39}{space 1}    4.05{col 48}{space 3}0.000{col 56}{space 4} .0076482{col 69}{space 3} .0220157
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2}-.0061314{col 28}{space 2} .0287489{col 39}{space 1}   -0.21{col 48}{space 3}0.831{col 56}{space 4}-.0624782{col 69}{space 3} .0502155
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}W              {txt}{c |}
{space 5}ln_kidnap {c |}{col 16}{res}{space 2} .2520062{col 28}{space 2} .0829867{col 39}{space 1}    3.04{col 48}{space 3}0.002{col 56}{space 4} .0893552{col 69}{space 3} .4146572
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
      /sigma_e {c |}{col 16}{res}{space 2} .7132204{col 28}{space 2} .0328021{col 56}{space 4} .6517419{col 69}{space 3} .7804982
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of spatial terms:{col 38}chi2({res}1{txt}) = {res}9.22    {col 59}{txt}Prob > chi2 = {res}0.0024
{txt}
{com}. estat impact ln_deaths
{res}
{txt}progress{col 12}:{txt}100% 

Average impacts{col 49}Number of obs{col 67}={col 69}{res}       272

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-Method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}direct       {txt}{c |}
{space 3}ln_deaths {c |}{col 14}{res}{space 2} .3014673{col 26}{space 2} .0581978{col 37}{space 1}    5.18{col 46}{space 3}0.000{col 54}{space 4} .1874018{col 67}{space 3} .4155328
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}indirect     {txt}{c |}
{space 3}ln_deaths {c |}{col 14}{res}{space 2} .0836456{col 26}{space 2} .0371581{col 37}{space 1}    2.25{col 46}{space 3}0.024{col 54}{space 4} .0108171{col 67}{space 3} .1564742
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}total        {txt}{c |}
{space 3}ln_deaths {c |}{col 14}{res}{space 2}  .385113{col 26}{space 2} .0792347{col 37}{space 1}    4.86{col 46}{space 3}0.000{col 54}{space 4} .2298159{col 67}{space 3} .5404101
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. use infight_battlefx.dta, clear
{txt}
{com}. twoway (bar dydx fx if effect=="direct") ///
>        (bar dydx fx if effect=="indirect") ///
>        (bar dydx fx if effect=="total") ///
>        (rcap cimin cimax fx)
{res}{txt}
{com}. 
. * Substantive Effect for Violent Competition
. use taliban_2_sp.dta, clear 
{txt}
{com}. 
. spxtregress ln_kidnap i.infightv ln_deaths ln_pop territory ln_kidnap_lag terr_minus_lag osv_lag, fe dvarlag(W)
{res}{txt}{col 3}(306 observations)
{col 3}(34 observations excluded due to missing values)
{col 3}(272 observations used)
{col 3}(data contain 34 panels (places) )
{col 3}(weighting matrix defines 34 places)
{res}{txt}
Performing grid search ... {txt}finished 
{txt}
Optimizing concentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-258.75584}  
Iteration 1:{space 2}Log likelihood = {res:-258.58695}  
Iteration 2:{space 2}Log likelihood = {res:-258.58692}  
Iteration 3:{space 2}Log likelihood = {res:-258.58692}  
{txt}
Optimizing unconcentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-258.58692}  
Iteration 1:{space 2}Log likelihood = {res:-258.58692}  (backed up)
{res}
{txt}Fixed-effects spatial regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{col 49}{txt}Number of groups{col 67}={col 69}{res}        34
{txt}{col 49}Obs per group{col 67}={col 69}{res}         8

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   123.79
{txt}{col 49}Prob > chi2{col 67}={col 73}{res}0.0000
{txt}Log likelihood = {res} -258.5869{col 49}{txt}Pseudo R2{col 67}={col 73}{res}0.3780

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     ln_kidnap{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ln_kidnap      {txt}{c |}
{space 4}1.infightv {c |}{col 16}{res}{space 2} .4078715{col 28}{space 2} .1513443{col 39}{space 1}    2.69{col 48}{space 3}0.007{col 56}{space 4}  .111242{col 69}{space 3}  .704501
{txt}{space 5}ln_deaths {c |}{col 16}{res}{space 2} .2980346{col 28}{space 2} .0578014{col 39}{space 1}    5.16{col 48}{space 3}0.000{col 56}{space 4}  .184746{col 69}{space 3} .4113232
{txt}{space 8}ln_pop {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 5}territory {c |}{col 16}{res}{space 2}-.1879006{col 28}{space 2} .1626649{col 39}{space 1}   -1.16{col 48}{space 3}0.248{col 56}{space 4} -.506718{col 69}{space 3} .1309168
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2} -.108269{col 28}{space 2} .0614393{col 39}{space 1}   -1.76{col 48}{space 3}0.078{col 56}{space 4}-.2286877{col 69}{space 3} .0121498
{txt}terr_minus_lag {c |}{col 16}{res}{space 2}  .014832{col 28}{space 2} .0036652{col 39}{space 1}    4.05{col 48}{space 3}0.000{col 56}{space 4} .0076482{col 69}{space 3} .0220157
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2}-.0061314{col 28}{space 2} .0287489{col 39}{space 1}   -0.21{col 48}{space 3}0.831{col 56}{space 4}-.0624782{col 69}{space 3} .0502155
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}W              {txt}{c |}
{space 5}ln_kidnap {c |}{col 16}{res}{space 2} .2520062{col 28}{space 2} .0829867{col 39}{space 1}    3.04{col 48}{space 3}0.002{col 56}{space 4} .0893552{col 69}{space 3} .4146572
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
      /sigma_e {c |}{col 16}{res}{space 2} .7132204{col 28}{space 2} .0328021{col 56}{space 4} .6517419{col 69}{space 3} .7804982
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of spatial terms:{col 38}chi2({res}1{txt}) = {res}9.22    {col 59}{txt}Prob > chi2 = {res}0.0024
{txt}
{com}. estat impact infightv
{res}
{txt}progress{col 12}:{txt} 50% {txt}100% 

Average impacts{col 49}Number of obs{col 67}={col 69}{res}       272

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-Method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}direct       {txt}{c |}
{space 4}infightv {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4125693{col 26}{space 2} .1528915{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} .1129074{col 67}{space 3} .7122312
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}indirect     {txt}{c |}
{space 4}infightv {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1144722{col 26}{space 2} .0623916{col 37}{space 1}    1.83{col 46}{space 3}0.067{col 54}{space 4} -.007813{col 67}{space 3} .2367574
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}total        {txt}{c |}
{space 4}infightv {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5270415{col 26}{space 2} .1988289{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4}  .137344{col 67}{space 3}  .916739
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins infightv, predict(xb)
{res}
{txt}{col 1}Predictive margins{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:272}
{txt}{col 1}Model VCE: {res:OIM}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict(xb)}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}infightv {c |}
{space 10}0  {c |}{col 14}{res}{space 2} 1.812122{col 26}{space 2} .3134848{col 37}{space 1}    5.78{col 46}{space 3}0.000{col 54}{space 4} 1.197703{col 67}{space 3} 2.426541
{txt}{space 10}1  {c |}{col 14}{res}{space 2} 2.219993{col 26}{space 2} .3133198{col 37}{space 1}    7.09{col 46}{space 3}0.000{col 54}{space 4} 1.605898{col 67}{space 3} 2.834089
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot,  recast(scatter)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:infightv}{p_end}
{res}{txt}
{com}. 
. * Directed Effects for Violent Competition
. spxtregress ln_kidnap i.infightv ln_deaths ln_pop territory ln_kidnap_lag terr_minus_lag osv_lag, fe dvarlag(W)
{res}{txt}{col 3}(306 observations)
{col 3}(34 observations excluded due to missing values)
{col 3}(272 observations used)
{col 3}(data contain 34 panels (places) )
{col 3}(weighting matrix defines 34 places)
{res}{txt}
Performing grid search ... {txt}finished 
{txt}
Optimizing concentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-258.75584}  
Iteration 1:{space 2}Log likelihood = {res:-258.58695}  
Iteration 2:{space 2}Log likelihood = {res:-258.58692}  
Iteration 3:{space 2}Log likelihood = {res:-258.58692}  
{txt}
Optimizing unconcentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-258.58692}  
Iteration 1:{space 2}Log likelihood = {res:-258.58692}  (backed up)
{res}
{txt}Fixed-effects spatial regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{col 49}{txt}Number of groups{col 67}={col 69}{res}        34
{txt}{col 49}Obs per group{col 67}={col 69}{res}         8

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   123.79
{txt}{col 49}Prob > chi2{col 67}={col 73}{res}0.0000
{txt}Log likelihood = {res} -258.5869{col 49}{txt}Pseudo R2{col 67}={col 73}{res}0.3780

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     ln_kidnap{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ln_kidnap      {txt}{c |}
{space 4}1.infightv {c |}{col 16}{res}{space 2} .4078715{col 28}{space 2} .1513443{col 39}{space 1}    2.69{col 48}{space 3}0.007{col 56}{space 4}  .111242{col 69}{space 3}  .704501
{txt}{space 5}ln_deaths {c |}{col 16}{res}{space 2} .2980346{col 28}{space 2} .0578014{col 39}{space 1}    5.16{col 48}{space 3}0.000{col 56}{space 4}  .184746{col 69}{space 3} .4113232
{txt}{space 8}ln_pop {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 5}territory {c |}{col 16}{res}{space 2}-.1879006{col 28}{space 2} .1626649{col 39}{space 1}   -1.16{col 48}{space 3}0.248{col 56}{space 4} -.506718{col 69}{space 3} .1309168
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2} -.108269{col 28}{space 2} .0614393{col 39}{space 1}   -1.76{col 48}{space 3}0.078{col 56}{space 4}-.2286877{col 69}{space 3} .0121498
{txt}terr_minus_lag {c |}{col 16}{res}{space 2}  .014832{col 28}{space 2} .0036652{col 39}{space 1}    4.05{col 48}{space 3}0.000{col 56}{space 4} .0076482{col 69}{space 3} .0220157
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2}-.0061314{col 28}{space 2} .0287489{col 39}{space 1}   -0.21{col 48}{space 3}0.831{col 56}{space 4}-.0624782{col 69}{space 3} .0502155
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}W              {txt}{c |}
{space 5}ln_kidnap {c |}{col 16}{res}{space 2} .2520062{col 28}{space 2} .0829867{col 39}{space 1}    3.04{col 48}{space 3}0.002{col 56}{space 4} .0893552{col 69}{space 3} .4146572
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
      /sigma_e {c |}{col 16}{res}{space 2} .7132204{col 28}{space 2} .0328021{col 56}{space 4} .6517419{col 69}{space 3} .7804982
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of spatial terms:{col 38}chi2({res}1{txt}) = {res}9.22    {col 59}{txt}Prob > chi2 = {res}0.0024
{txt}
{com}. estat impact infightv
{res}
{txt}progress{col 12}:{txt} 50% {txt}100% 

Average impacts{col 49}Number of obs{col 67}={col 69}{res}       272

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-Method
{col 14}{c |}      dy/dx{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}direct       {txt}{c |}
{space 4}infightv {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4125693{col 26}{space 2} .1528915{col 37}{space 1}    2.70{col 46}{space 3}0.007{col 54}{space 4} .1129074{col 67}{space 3} .7122312
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}indirect     {txt}{c |}
{space 4}infightv {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1144722{col 26}{space 2} .0623916{col 37}{space 1}    1.83{col 46}{space 3}0.067{col 54}{space 4} -.007813{col 67}{space 3} .2367574
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}total        {txt}{c |}
{space 4}infightv {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5270415{col 26}{space 2} .1988289{col 37}{space 1}    2.65{col 46}{space 3}0.008{col 54}{space 4}  .137344{col 67}{space 3}  .916739
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. use infight_spatialfx.dta, clear
{txt}
{com}. twoway (bar dydx fx if effect=="direct") ///
>        (bar dydx fx if effect=="indirect") ///
>        (bar dydx fx if effect=="total") ///
>        (rcap cimin cimax fx)
{res}{txt}
{com}.            
. * Robust to Different W Specification
. use taliban_2_sp.dta, clear 
{txt}
{com}. /// * Linked shapefile: AFG_adm1_shp.dta
> 
. spxtregress ln_kidnap infightv ln_deaths ln_pop territory ln_kidnap_lag terr_minus_lag osv_lag, fe dvarlag(W) errorlag(W)
{res}{txt}{col 3}(306 observations)
{col 3}(34 observations excluded due to missing values)
{col 3}(272 observations used)
{col 3}(data contain 34 panels (places) )
{col 3}(weighting matrix defines 34 places)
{res}{txt}
Performing grid search ... {txt}finished 
{txt}
Optimizing concentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-254.86911}  
Iteration 1:{space 2}Log likelihood = {res:-254.74968}  
Iteration 2:{space 2}Log likelihood = {res:-254.74799}  
Iteration 3:{space 2}Log likelihood = {res:-254.74799}  
{txt}
Optimizing unconcentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-254.74799}  
Iteration 1:{space 2}Log likelihood = {res:-254.74799}  (backed up)
{res}
{txt}Fixed-effects spatial regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{col 49}{txt}Number of groups{col 67}={col 69}{res}        34
{txt}{col 49}Obs per group{col 67}={col 69}{res}         8

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   306.50
{txt}{col 49}Prob > chi2{col 67}={col 73}{res}0.0000
{txt}Log likelihood = {res} -254.7480{col 49}{txt}Pseudo R2{col 67}={col 73}{res}0.2686

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     ln_kidnap{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ln_kidnap      {txt}{c |}
{space 6}infightv {c |}{col 16}{res}{space 2} .3889961{col 28}{space 2} .1389522{col 39}{space 1}    2.80{col 48}{space 3}0.005{col 56}{space 4} .1166548{col 69}{space 3} .6613373
{txt}{space 5}ln_deaths {c |}{col 16}{res}{space 2} .2298212{col 28}{space 2} .0565274{col 39}{space 1}    4.07{col 48}{space 3}0.000{col 56}{space 4} .1190295{col 69}{space 3} .3406129
{txt}{space 8}ln_pop {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 5}territory {c |}{col 16}{res}{space 2}-.1895619{col 28}{space 2} .1437983{col 39}{space 1}   -1.32{col 48}{space 3}0.187{col 56}{space 4}-.4714015{col 69}{space 3} .0922777
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2}-.1140617{col 28}{space 2} .0547537{col 39}{space 1}   -2.08{col 48}{space 3}0.037{col 56}{space 4}-.2213769{col 69}{space 3}-.0067465
{txt}terr_minus_lag {c |}{col 16}{res}{space 2} .0124446{col 28}{space 2}  .003135{col 39}{space 1}    3.97{col 48}{space 3}0.000{col 56}{space 4} .0063001{col 69}{space 3}  .018589
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2} .0013417{col 28}{space 2} .0251154{col 39}{space 1}    0.05{col 48}{space 3}0.957{col 56}{space 4}-.0478835{col 69}{space 3} .0505669
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}W              {txt}{c |}
{space 5}ln_kidnap {c |}{col 16}{res}{space 2} .5448583{col 28}{space 2} .0923484{col 39}{space 1}    5.90{col 48}{space 3}0.000{col 56}{space 4} .3638587{col 69}{space 3} .7258579
{txt}{space 3}e.ln_kidnap {c |}{col 16}{res}{space 2}-.5850933{col 28}{space 2} .1821674{col 39}{space 1}   -3.21{col 48}{space 3}0.001{col 56}{space 4}-.9421348{col 69}{space 3}-.2280518
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
      /sigma_e {c |}{col 16}{res}{space 2} .6677623{col 28}{space 2} .0350658{col 56}{space 4} .6024532{col 69}{space 3} .7401514
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of spatial terms:{col 38}chi2({res}2{txt}) = {res}37.61   {col 59}{txt}Prob > chi2 = {res}0.0000
{txt}
{com}. spxtregress ln_kidnap infightv ln_deaths ln_pop territory ln_kidnap_lag terr_minus_lag osv_lag, fe dvarlag(W) errorlag(W) ivarlag(W: infightv ln_deaths)
{res}{txt}{col 3}(306 observations)
{col 3}(34 observations excluded due to missing values)
{col 3}(272 observations used)
{col 3}(data contain 34 panels (places) )
{col 3}(weighting matrix defines 34 places)
{res}{txt}
Performing grid search ... {txt}finished 
{txt}
Optimizing concentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-253.16271}  
Iteration 1:{space 2}Log likelihood = {res:-253.12514}  
Iteration 2:{space 2}Log likelihood = {res: -253.1251}  
Iteration 3:{space 2}Log likelihood = {res: -253.1251}  
{txt}
Optimizing unconcentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res: -253.1251}  
Iteration 1:{space 2}Log likelihood = {res: -253.1251}  (backed up)
{res}
{txt}Fixed-effects spatial regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{col 49}{txt}Number of groups{col 67}={col 69}{res}        34
{txt}{col 49}Obs per group{col 67}={col 69}{res}         8

{txt}{col 49}Wald chi2({res}9{txt}){col 67}={col 70}{res}   374.16
{txt}{col 49}Prob > chi2{col 67}={col 73}{res}0.0000
{txt}Log likelihood = {res} -253.1251{col 49}{txt}Pseudo R2{col 67}={col 73}{res}0.3908

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     ln_kidnap{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ln_kidnap      {txt}{c |}
{space 6}infightv {c |}{col 16}{res}{space 2} .3491269{col 28}{space 2} .1481479{col 39}{space 1}    2.36{col 48}{space 3}0.018{col 56}{space 4} .0587623{col 69}{space 3} .6394915
{txt}{space 5}ln_deaths {c |}{col 16}{res}{space 2} .2762058{col 28}{space 2} .0607271{col 39}{space 1}    4.55{col 48}{space 3}0.000{col 56}{space 4}  .157183{col 69}{space 3} .3952287
{txt}{space 8}ln_pop {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 5}territory {c |}{col 16}{res}{space 2}-.1416163{col 28}{space 2} .1398621{col 39}{space 1}   -1.01{col 48}{space 3}0.311{col 56}{space 4}-.4157409{col 69}{space 3} .1325083
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2} -.108552{col 28}{space 2} .0529653{col 39}{space 1}   -2.05{col 48}{space 3}0.040{col 56}{space 4}-.2123621{col 69}{space 3} -.004742
{txt}terr_minus_lag {c |}{col 16}{res}{space 2} .0121392{col 28}{space 2} .0030141{col 39}{space 1}    4.03{col 48}{space 3}0.000{col 56}{space 4} .0062317{col 69}{space 3} .0180466
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2}-.0043737{col 28}{space 2} .0241737{col 39}{space 1}   -0.18{col 48}{space 3}0.856{col 56}{space 4}-.0517533{col 69}{space 3} .0430059
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}W              {txt}{c |}
{space 6}infightv {c |}{col 16}{res}{space 2} .2943877{col 28}{space 2} .3098371{col 39}{space 1}    0.95{col 48}{space 3}0.342{col 56}{space 4}-.3128818{col 69}{space 3} .9016573
{txt}{space 5}ln_deaths {c |}{col 16}{res}{space 2}-.1936826{col 28}{space 2} .1064027{col 39}{space 1}   -1.82{col 48}{space 3}0.069{col 56}{space 4}-.4022279{col 69}{space 3} .0148628
{txt}{space 5}ln_kidnap {c |}{col 16}{res}{space 2}  .621145{col 28}{space 2} .0952765{col 39}{space 1}    6.52{col 48}{space 3}0.000{col 56}{space 4} .4344065{col 69}{space 3} .8078835
{txt}{space 3}e.ln_kidnap {c |}{col 16}{res}{space 2}-.7097557{col 28}{space 2} .1811482{col 39}{space 1}   -3.92{col 48}{space 3}0.000{col 56}{space 4}  -1.0648{col 69}{space 3}-.3547117
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
      /sigma_e {c |}{col 16}{res}{space 2} .6482986{col 28}{space 2} .0362447{col 56}{space 4} .5810141{col 69}{space 3} .7233751
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of spatial terms:{col 38}chi2({res}4{txt}) = {res}57.48   {col 59}{txt}Prob > chi2 = {res}0.0000
{txt}
{com}. 
{txt}end of do-file

{com}. do "/var/folders/lc/bh2lyhmj6bz7wf29yrkxtzxm0000gp/T//SD01187.000000"
{txt}
{com}. * Binary Dependent Variable (Table A16)
. spxtregress kidnap_binary infightv ln_deaths ln_kidnap_lag terr_minus_lag osv_lag, fe dvarlag(W)
{res}{txt}{col 3}(306 observations)
{col 3}(34 observations excluded due to missing values)
{col 3}(272 observations used)
{col 3}(data contain 34 panels (places) )
{col 3}(weighting matrix defines 34 places)
{res}{txt}
Performing grid search ... {txt}finished 
{txt}
Optimizing concentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:  -94.3378}  
Iteration 1:{space 2}Log likelihood = {res:-94.335792}  
Iteration 2:{space 2}Log likelihood = {res:-94.335792}  
{txt}
Optimizing unconcentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-94.335792}  
Iteration 1:{space 2}Log likelihood = {res:-94.335792}  (backed up)
{res}
{txt}Fixed-effects spatial regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{col 49}{txt}Number of groups{col 67}={col 69}{res}        34
{txt}{col 49}Obs per group{col 67}={col 69}{res}         8

{txt}{col 49}Wald chi2({res}6{txt}){col 67}={col 70}{res}    58.14
{txt}{col 49}Prob > chi2{col 67}={col 73}{res}0.0000
{txt}Log likelihood = {res}  -94.3358{col 49}{txt}Pseudo R2{col 67}={col 73}{res}0.2554

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} kidnap_binary{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}kidnap_binary  {txt}{c |}
{space 6}infightv {c |}{col 16}{res}{space 2} .2723663{col 28}{space 2} .0761708{col 39}{space 1}    3.58{col 48}{space 3}0.000{col 56}{space 4} .1230743{col 69}{space 3} .4216583
{txt}{space 5}ln_deaths {c |}{col 16}{res}{space 2} .0934201{col 28}{space 2} .0287885{col 39}{space 1}    3.25{col 48}{space 3}0.001{col 56}{space 4} .0369956{col 69}{space 3} .1498446
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2}-.0772574{col 28}{space 2} .0306727{col 39}{space 1}   -2.52{col 48}{space 3}0.012{col 56}{space 4}-.1373749{col 69}{space 3}  -.01714
{txt}terr_minus_lag {c |}{col 16}{res}{space 2} .0037623{col 28}{space 2} .0017888{col 39}{space 1}    2.10{col 48}{space 3}0.035{col 56}{space 4} .0002562{col 69}{space 3} .0072684
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2}-.0082437{col 28}{space 2}  .014442{col 39}{space 1}   -0.57{col 48}{space 3}0.568{col 56}{space 4}-.0365494{col 69}{space 3} .0200621
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}W              {txt}{c |}
{space 1}kidnap_binary {c |}{col 16}{res}{space 2} .1938508{col 28}{space 2} .0970806{col 39}{space 1}    2.00{col 48}{space 3}0.046{col 56}{space 4} .0035764{col 69}{space 3} .3841252
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
      /sigma_e {c |}{col 16}{res}{space 2}  .358517{col 28}{space 2} .0164754{col 56}{space 4} .3276373{col 69}{space 3}  .392307
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of spatial terms:{col 38}chi2({res}1{txt}) = {res}3.99    {col 59}{txt}Prob > chi2 = {res}0.0458
{txt}
{com}. spxtregress kidnap_binary infightv ln_deaths ln_pop territory ln_kidnap_lag terr_minus_lag osv_lag, fe dvarlag(W)
{res}{txt}{col 3}(306 observations)
{col 3}(34 observations excluded due to missing values)
{col 3}(272 observations used)
{col 3}(data contain 34 panels (places) )
{col 3}(weighting matrix defines 34 places)
{res}{txt}
Performing grid search ... {txt}finished 
{txt}
Optimizing concentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-94.179196}  
Iteration 1:{space 2}Log likelihood = {res:-94.173797}  
Iteration 2:{space 2}Log likelihood = {res:-94.173795}  
{txt}
Optimizing unconcentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-94.173795}  
Iteration 1:{space 2}Log likelihood = {res:-94.173795}  (backed up)
{res}
{txt}Fixed-effects spatial regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{col 49}{txt}Number of groups{col 67}={col 69}{res}        34
{txt}{col 49}Obs per group{col 67}={col 69}{res}         8

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}    58.53
{txt}{col 49}Prob > chi2{col 67}={col 73}{res}0.0000
{txt}Log likelihood = {res}  -94.1738{col 49}{txt}Pseudo R2{col 67}={col 73}{res}0.2574

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} kidnap_binary{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}kidnap_binary  {txt}{c |}
{space 6}infightv {c |}{col 16}{res}{space 2} .2721049{col 28}{space 2}  .076131{col 39}{space 1}    3.57{col 48}{space 3}0.000{col 56}{space 4} .1228908{col 69}{space 3}  .421319
{txt}{space 5}ln_deaths {c |}{col 16}{res}{space 2} .0956987{col 28}{space 2} .0290513{col 39}{space 1}    3.29{col 48}{space 3}0.001{col 56}{space 4} .0387592{col 69}{space 3} .1526382
{txt}{space 8}ln_pop {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 5}territory {c |}{col 16}{res}{space 2}-.0465606{col 28}{space 2} .0817829{col 39}{space 1}   -0.57{col 48}{space 3}0.569{col 56}{space 4}-.2068521{col 69}{space 3} .1137308
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2}-.0787482{col 28}{space 2} .0307675{col 39}{space 1}   -2.56{col 48}{space 3}0.010{col 56}{space 4}-.1390514{col 69}{space 3} -.018445
{txt}terr_minus_lag {c |}{col 16}{res}{space 2} .0039423{col 28}{space 2} .0018159{col 39}{space 1}    2.17{col 48}{space 3}0.030{col 56}{space 4} .0003833{col 69}{space 3} .0075013
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2}-.0077436{col 28}{space 2} .0144607{col 39}{space 1}   -0.54{col 48}{space 3}0.592{col 56}{space 4}-.0360861{col 69}{space 3} .0205989
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}W              {txt}{c |}
{space 1}kidnap_binary {c |}{col 16}{res}{space 2} .1898878{col 28}{space 2} .0973958{col 39}{space 1}    1.95{col 48}{space 3}0.051{col 56}{space 4}-.0010044{col 69}{space 3} .3807801
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
      /sigma_e {c |}{col 16}{res}{space 2} .3583209{col 28}{space 2} .0164647{col 56}{space 4} .3274611{col 69}{space 3} .3920889
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of spatial terms:{col 38}chi2({res}1{txt}) = {res}3.80    {col 59}{txt}Prob > chi2 = {res}0.0512
{txt}
{com}. 
. * Non-Spatial Linear Model (Table A17)
. xtreg ln_kidnap infightv ln_deaths ln_kidnap_lag terr_minus_lag osv_lag, fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{txt}{col 49}Number of groups{col 67}={col 69}{res}        34

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.3096{col 63}{txt}min{col 67}={col 69}{res}         8
{txt}     Between = {res}0.4469{col 63}{txt}avg{col 67}={col 69}{res}       8.0
{txt}     Overall = {res}0.3689{col 63}{txt}max{col 67}={col 69}{res}         8

{txt}{col 49}F({res}5{txt}, {res}233{txt}){col 67}={col 70}{res}    20.90
{txt}corr(u_i, Xb) = {res}-0.2542{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     ln_kidnap{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}infightv {c |}{col 16}{res}{space 2} .4425055{col 28}{space 2} .1568267{col 39}{space 1}    2.82{col 48}{space 3}0.005{col 56}{space 4} .1335258{col 69}{space 3} .7514851
{txt}{space 5}ln_deaths {c |}{col 16}{res}{space 2} .3111361{col 28}{space 2} .0590213{col 39}{space 1}    5.27{col 48}{space 3}0.000{col 56}{space 4} .1948524{col 69}{space 3} .4274198
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2}-.0859881{col 28}{space 2} .0633777{col 39}{space 1}   -1.36{col 48}{space 3}0.176{col 56}{space 4}-.2108548{col 69}{space 3} .0388786
{txt}terr_minus_lag {c |}{col 16}{res}{space 2} .0173606{col 28}{space 2} .0035893{col 39}{space 1}    4.84{col 48}{space 3}0.000{col 56}{space 4}  .010289{col 69}{space 3} .0244322
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2}-.0117801{col 28}{space 2} .0297828{col 39}{space 1}   -0.40{col 48}{space 3}0.693{col 56}{space 4}-.0704582{col 69}{space 3} .0468979
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-.7595708{col 28}{space 2} .3131268{col 39}{space 1}   -2.43{col 48}{space 3}0.016{col 56}{space 4}-1.376492{col 69}{space 3}-.1426491
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       sigma_u {c |} {res} .63777492
       {txt}sigma_e {c |} {res} .74092607
           {txt}rho {c |} {res} .42559884{txt}   (fraction of variance due to u_i)
{hline 15}{c BT}{hline 64}
F test that all u_i=0: F({res}33{txt}, {res}233{txt}) = {res}3.63{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. xtreg ln_kidnap infightv ln_deaths_lag ln_pop territory ln_kidnap_lag terr_minus_lag osv_lag, fe
{txt}{p 0 6 2}note: {bf:ln_pop} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{txt}{col 49}Number of groups{col 67}={col 69}{res}        34

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.2626{col 63}{txt}min{col 67}={col 69}{res}         8
{txt}     Between = {res}0.4100{col 63}{txt}avg{col 67}={col 69}{res}       8.0
{txt}     Overall = {res}0.3342{col 63}{txt}max{col 67}={col 69}{res}         8

{txt}{col 49}F({res}6{txt}, {res}232{txt}){col 67}={col 70}{res}    13.77
{txt}corr(u_i, Xb) = {res}-0.0402{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     ln_kidnap{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}infightv {c |}{col 16}{res}{space 2}  .501819{col 28}{space 2} .1620523{col 39}{space 1}    3.10{col 48}{space 3}0.002{col 56}{space 4} .1825368{col 69}{space 3} .8211012
{txt}{space 1}ln_deaths_lag {c |}{col 16}{res}{space 2} .2017849{col 28}{space 2} .0614216{col 39}{space 1}    3.29{col 48}{space 3}0.001{col 56}{space 4} .0807694{col 69}{space 3} .3228004
{txt}{space 8}ln_pop {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 5}territory {c |}{col 16}{res}{space 2}-.1664984{col 28}{space 2} .1743433{col 39}{space 1}   -0.96{col 48}{space 3}0.341{col 56}{space 4}-.5099969{col 69}{space 3} .1770002
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2}-.1102672{col 28}{space 2} .0678791{col 39}{space 1}   -1.62{col 48}{space 3}0.106{col 56}{space 4}-.2440055{col 69}{space 3} .0234711
{txt}terr_minus_lag {c |}{col 16}{res}{space 2} .0200031{col 28}{space 2} .0037607{col 39}{space 1}    5.32{col 48}{space 3}0.000{col 56}{space 4} .0125936{col 69}{space 3} .0274125
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2}-.0112027{col 28}{space 2} .0309102{col 39}{space 1}   -0.36{col 48}{space 3}0.717{col 56}{space 4}-.0721033{col 69}{space 3} .0496979
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .0750171{col 28}{space 2} .2473715{col 39}{space 1}    0.30{col 48}{space 3}0.762{col 56}{space 4}-.4123645{col 69}{space 3} .5623987
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       sigma_u {c |} {res} .62907253
       {txt}sigma_e {c |} {res} .76735975
           {txt}rho {c |} {res} .40193277{txt}   (fraction of variance due to u_i)
{hline 15}{c BT}{hline 64}
F test that all u_i=0: F({res}33{txt}, {res}232{txt}) = {res}3.32{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. 
. * Non-Spatial Binary Model (Table A18)
. xtreg kidnap_binary infightv ln_deaths ln_kidnap_lag terr_minus_lag osv_lag, fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{txt}{col 49}Number of groups{col 67}={col 69}{res}        34

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.1820{col 63}{txt}min{col 67}={col 69}{res}         8
{txt}     Between = {res}0.3711{col 63}{txt}avg{col 67}={col 69}{res}       8.0
{txt}     Overall = {res}0.2505{col 63}{txt}max{col 67}={col 69}{res}         8

{txt}{col 49}F({res}5{txt}, {res}233{txt}){col 67}={col 70}{res}    10.37
{txt}corr(u_i, Xb) = {res}-0.1113{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} kidnap_binary{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}infightv {c |}{col 16}{res}{space 2} .2855332{col 28}{space 2} .0775645{col 39}{space 1}    3.68{col 48}{space 3}0.000{col 56}{space 4} .1327159{col 69}{space 3} .4383505
{txt}{space 5}ln_deaths {c |}{col 16}{res}{space 2} .1006639{col 28}{space 2} .0291912{col 39}{space 1}    3.45{col 48}{space 3}0.001{col 56}{space 4} .0431515{col 69}{space 3} .1581763
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2}-.0760756{col 28}{space 2} .0313458{col 39}{space 1}   -2.43{col 48}{space 3}0.016{col 56}{space 4} -.137833{col 69}{space 3}-.0143182
{txt}terr_minus_lag {c |}{col 16}{res}{space 2} .0046179{col 28}{space 2} .0017752{col 39}{space 1}    2.60{col 48}{space 3}0.010{col 56}{space 4} .0011203{col 69}{space 3} .0081154
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2}-.0101243{col 28}{space 2} .0147302{col 39}{space 1}   -0.69{col 48}{space 3}0.493{col 56}{space 4}-.0391457{col 69}{space 3} .0188971
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .0557983{col 28}{space 2} .1548684{col 39}{space 1}    0.36{col 48}{space 3}0.719{col 56}{space 4}-.2493231{col 69}{space 3} .3609197
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       sigma_u {c |} {res} .23452468
       {txt}sigma_e {c |} {res}  .3664524
           {txt}rho {c |} {res} .29057035{txt}   (fraction of variance due to u_i)
{hline 15}{c BT}{hline 64}
F test that all u_i=0: F({res}33{txt}, {res}233{txt}) = {res}2.39{col 62}{txt}Prob > F = {res}0.0001
{txt}
{com}. xtreg kidnap_binary infightv ln_deaths_lag ln_pop territory ln_kidnap_lag terr_minus_lag osv_lag, fe
{txt}{p 0 6 2}note: {bf:ln_pop} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{txt}{col 49}Number of groups{col 67}={col 69}{res}        34

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.1705{col 63}{txt}min{col 67}={col 69}{res}         8
{txt}     Between = {res}0.2733{col 63}{txt}avg{col 67}={col 69}{res}       8.0
{txt}     Overall = {res}0.2078{col 63}{txt}max{col 67}={col 69}{res}         8

{txt}{col 49}F({res}6{txt}, {res}232{txt}){col 67}={col 70}{res}     7.95
{txt}corr(u_i, Xb) = {res}-0.0626{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1} kidnap_binary{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}infightv {c |}{col 16}{res}{space 2} .2959672{col 28}{space 2} .0780996{col 39}{space 1}    3.79{col 48}{space 3}0.000{col 56}{space 4} .1420921{col 69}{space 3} .4498423
{txt}{space 1}ln_deaths_lag {c |}{col 16}{res}{space 2} .0857443{col 28}{space 2} .0296016{col 39}{space 1}    2.90{col 48}{space 3}0.004{col 56}{space 4}  .027422{col 69}{space 3} .1440666
{txt}{space 8}ln_pop {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 5}territory {c |}{col 16}{res}{space 2}-.0481983{col 28}{space 2} .0840232{col 39}{space 1}   -0.57{col 48}{space 3}0.567{col 56}{space 4}-.2137443{col 69}{space 3} .1173476
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2}-.0896945{col 28}{space 2} .0327137{col 39}{space 1}   -2.74{col 48}{space 3}0.007{col 56}{space 4}-.1541485{col 69}{space 3}-.0252406
{txt}terr_minus_lag {c |}{col 16}{res}{space 2} .0051184{col 28}{space 2} .0018124{col 39}{space 1}    2.82{col 48}{space 3}0.005{col 56}{space 4} .0015475{col 69}{space 3} .0086894
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2}-.0097734{col 28}{space 2} .0148969{col 39}{space 1}   -0.66{col 48}{space 3}0.512{col 56}{space 4}-.0391238{col 69}{space 3} .0195771
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .2498116{col 28}{space 2} .1192184{col 39}{space 1}    2.10{col 48}{space 3}0.037{col 56}{space 4} .0149225{col 69}{space 3} .4847006
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       sigma_u {c |} {res} .25049741
       {txt}sigma_e {c |} {res}  .3698219
           {txt}rho {c |} {res} .31450398{txt}   (fraction of variance due to u_i)
{hline 15}{c BT}{hline 64}
F test that all u_i=0: F({res}33{txt}, {res}232{txt}) = {res}2.55{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. 
. * Tabliban Terrorist Attacks Placebo (Table A19)
. xtreg propsoft infightv ln_deaths territory osv_lag terr_minus_lag i.iyear, fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       255
{txt}Group variable: {res}_ID{txt}{col 49}Number of groups{col 67}={col 69}{res}        33

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.1823{col 63}{txt}min{col 67}={col 69}{res}         3
{txt}     Between = {res}0.0674{col 63}{txt}avg{col 67}={col 69}{res}       7.7
{txt}     Overall = {res}0.1542{col 63}{txt}max{col 67}={col 69}{res}         8

{txt}{col 49}F({res}12{txt}, {res}210{txt}){col 67}={col 70}{res}     3.90
{txt}corr(u_i, Xb) = {res}-0.0239{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      propsoft{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}infightv {c |}{col 16}{res}{space 2}  .039343{col 28}{space 2} .0478592{col 39}{space 1}    0.82{col 48}{space 3}0.412{col 56}{space 4} -.055003{col 69}{space 3}  .133689
{txt}{space 5}ln_deaths {c |}{col 16}{res}{space 2} .0290923{col 28}{space 2} .0218348{col 39}{space 1}    1.33{col 48}{space 3}0.184{col 56}{space 4}-.0139511{col 69}{space 3} .0721357
{txt}{space 5}territory {c |}{col 16}{res}{space 2} -.046082{col 28}{space 2} .0514508{col 39}{space 1}   -0.90{col 48}{space 3}0.371{col 56}{space 4}-.1475083{col 69}{space 3} .0553443
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2}-.0033963{col 28}{space 2} .0091526{col 39}{space 1}   -0.37{col 48}{space 3}0.711{col 56}{space 4}-.0214391{col 69}{space 3} .0146465
{txt}terr_minus_lag {c |}{col 16}{res}{space 2}-.0009742{col 28}{space 2} .0013165{col 39}{space 1}   -0.74{col 48}{space 3}0.460{col 56}{space 4}-.0035695{col 69}{space 3} .0016211
{txt}{space 14} {c |}
{space 9}iyear {c |}
{space 9}2012  {c |}{col 16}{res}{space 2}-.2597821{col 28}{space 2}  .056273{col 39}{space 1}   -4.62{col 48}{space 3}0.000{col 56}{space 4}-.3707145{col 69}{space 3}-.1488496
{txt}{space 9}2013  {c |}{col 16}{res}{space 2}-.2701307{col 28}{space 2} .0612516{col 39}{space 1}   -4.41{col 48}{space 3}0.000{col 56}{space 4}-.3908775{col 69}{space 3} -.149384
{txt}{space 9}2014  {c |}{col 16}{res}{space 2}-.2756858{col 28}{space 2} .0600586{col 39}{space 1}   -4.59{col 48}{space 3}0.000{col 56}{space 4}-.3940809{col 69}{space 3}-.1572908
{txt}{space 9}2015  {c |}{col 16}{res}{space 2}-.1759631{col 28}{space 2} .0622779{col 39}{space 1}   -2.83{col 48}{space 3}0.005{col 56}{space 4}-.2987331{col 69}{space 3}-.0531931
{txt}{space 9}2016  {c |}{col 16}{res}{space 2}-.1658801{col 28}{space 2} .0664636{col 39}{space 1}   -2.50{col 48}{space 3}0.013{col 56}{space 4}-.2969014{col 69}{space 3}-.0348588
{txt}{space 9}2017  {c |}{col 16}{res}{space 2} -.272801{col 28}{space 2} .0646473{col 39}{space 1}   -4.22{col 48}{space 3}0.000{col 56}{space 4}-.4002418{col 69}{space 3}-.1453602
{txt}{space 9}2018  {c |}{col 16}{res}{space 2} -.316171{col 28}{space 2} .0668803{col 39}{space 1}   -4.73{col 48}{space 3}0.000{col 56}{space 4}-.4480137{col 69}{space 3}-.1843283
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2} .3416273{col 28}{space 2} .1215532{col 39}{space 1}    2.81{col 48}{space 3}0.005{col 56}{space 4} .1020065{col 69}{space 3} .5812482
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       sigma_u {c |} {res} .11023553
       {txt}sigma_e {c |} {res} .21864373
           {txt}rho {c |} {res} .20267663{txt}   (fraction of variance due to u_i)
{hline 15}{c BT}{hline 64}
F test that all u_i=0: F({res}32{txt}, {res}210{txt}) = {res}1.91{col 62}{txt}Prob > F = {res}0.0040
{txt}
{com}. xtreg propsoft infightv ln_deaths_lag ln_pop territory ln_kidnap_lag terr_minus_lag osv_lag, fe
{txt}{p 0 6 2}note: {bf:ln_pop} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       255
{txt}Group variable: {res}_ID{txt}{col 49}Number of groups{col 67}={col 69}{res}        33

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.0265{col 63}{txt}min{col 67}={col 69}{res}         3
{txt}     Between = {res}0.0257{col 63}{txt}avg{col 67}={col 69}{res}       7.7
{txt}     Overall = {res}0.0270{col 63}{txt}max{col 67}={col 69}{res}         8

{txt}{col 49}F({res}6{txt}, {res}216{txt}){col 67}={col 70}{res}     0.98
{txt}corr(u_i, Xb) = {res}-0.0671{txt}{col 49}Prob > F{col 67}={col 73}{res}0.4392

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      propsoft{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}infightv {c |}{col 16}{res}{space 2}  .018434{col 28}{space 2} .0497759{col 39}{space 1}    0.37{col 48}{space 3}0.711{col 56}{space 4}-.0796747{col 69}{space 3} .1165427
{txt}{space 1}ln_deaths_lag {c |}{col 16}{res}{space 2} -.005051{col 28}{space 2} .0204957{col 39}{space 1}   -0.25{col 48}{space 3}0.806{col 56}{space 4}-.0454481{col 69}{space 3} .0353461
{txt}{space 8}ln_pop {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 5}territory {c |}{col 16}{res}{space 2}-.0402053{col 28}{space 2} .0535415{col 39}{space 1}   -0.75{col 48}{space 3}0.454{col 56}{space 4}-.1457361{col 69}{space 3} .0653254
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2} .0099898{col 28}{space 2} .0214335{col 39}{space 1}    0.47{col 48}{space 3}0.642{col 56}{space 4}-.0322558{col 69}{space 3} .0522354
{txt}terr_minus_lag {c |}{col 16}{res}{space 2}-.0020881{col 28}{space 2} .0011563{col 39}{space 1}   -1.81{col 48}{space 3}0.072{col 56}{space 4}-.0043672{col 69}{space 3} .0001909
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2} .0110626{col 28}{space 2} .0094859{col 39}{space 1}    1.17{col 48}{space 3}0.245{col 56}{space 4}-.0076343{col 69}{space 3} .0297594
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .3047331{col 28}{space 2} .0851758{col 39}{space 1}    3.58{col 48}{space 3}0.000{col 56}{space 4}  .136851{col 69}{space 3} .4726151
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       sigma_u {c |} {res} .11335911
       {txt}sigma_e {c |} {res} .23523175
           {txt}rho {c |} {res} .18846414{txt}   (fraction of variance due to u_i)
{hline 15}{c BT}{hline 64}
F test that all u_i=0: F({res}32{txt}, {res}216{txt}) = {res}1.50{col 62}{txt}Prob > F = {res}0.0485
{txt}
{com}. 
. * Disequilibtrium Test (Table A20)
. * Reported results for linear model (non-spatial)
.  xtreg ln_kidnap infightv ln_deaths_lag ln_pop territory ln_kidnap_lag terr_minus_lag osv_lag, fe
{txt}{p 0 6 2}note: {bf:ln_pop} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{txt}{col 49}Number of groups{col 67}={col 69}{res}        34

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.2626{col 63}{txt}min{col 67}={col 69}{res}         8
{txt}     Between = {res}0.4100{col 63}{txt}avg{col 67}={col 69}{res}       8.0
{txt}     Overall = {res}0.3342{col 63}{txt}max{col 67}={col 69}{res}         8

{txt}{col 49}F({res}6{txt}, {res}232{txt}){col 67}={col 70}{res}    13.77
{txt}corr(u_i, Xb) = {res}-0.0402{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     ln_kidnap{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}infightv {c |}{col 16}{res}{space 2}  .501819{col 28}{space 2} .1620523{col 39}{space 1}    3.10{col 48}{space 3}0.002{col 56}{space 4} .1825368{col 69}{space 3} .8211012
{txt}{space 1}ln_deaths_lag {c |}{col 16}{res}{space 2} .2017849{col 28}{space 2} .0614216{col 39}{space 1}    3.29{col 48}{space 3}0.001{col 56}{space 4} .0807694{col 69}{space 3} .3228004
{txt}{space 8}ln_pop {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 5}territory {c |}{col 16}{res}{space 2}-.1664984{col 28}{space 2} .1743433{col 39}{space 1}   -0.96{col 48}{space 3}0.341{col 56}{space 4}-.5099969{col 69}{space 3} .1770002
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2}-.1102672{col 28}{space 2} .0678791{col 39}{space 1}   -1.62{col 48}{space 3}0.106{col 56}{space 4}-.2440055{col 69}{space 3} .0234711
{txt}terr_minus_lag {c |}{col 16}{res}{space 2} .0200031{col 28}{space 2} .0037607{col 39}{space 1}    5.32{col 48}{space 3}0.000{col 56}{space 4} .0125936{col 69}{space 3} .0274125
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2}-.0112027{col 28}{space 2} .0309102{col 39}{space 1}   -0.36{col 48}{space 3}0.717{col 56}{space 4}-.0721033{col 69}{space 3} .0496979
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .0750171{col 28}{space 2} .2473715{col 39}{space 1}    0.30{col 48}{space 3}0.762{col 56}{space 4}-.4123645{col 69}{space 3} .5623987
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       sigma_u {c |} {res} .62907253
       {txt}sigma_e {c |} {res} .76735975
           {txt}rho {c |} {res} .40193277{txt}   (fraction of variance due to u_i)
{hline 15}{c BT}{hline 64}
F test that all u_i=0: F({res}33{txt}, {res}232{txt}) = {res}3.32{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. 
. * New high losses + territorial control = high kidnap (effect not supproted -- no stat. difference between areas in control and no control)
. xtreg ln_kidnap infightv c.ln_deaths##territory ln_pop ln_kidnap_lag terr_minus_lag osv_lag i.iyear, fe 
{txt}{p 0 6 2}note: {bf:ln_pop} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{txt}{col 49}Number of groups{col 67}={col 69}{res}        34

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.3931{col 63}{txt}min{col 67}={col 69}{res}         8
{txt}     Between = {res}0.4144{col 63}{txt}avg{col 67}={col 69}{res}       8.0
{txt}     Overall = {res}0.4031{col 63}{txt}max{col 67}={col 69}{res}         8

{txt}{col 49}F({res}14{txt}, {res}224{txt}){col 67}={col 70}{res}    10.36
{txt}corr(u_i, Xb) = {res}-0.0394{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}            ln_kidnap{col 23}{c |} Coefficient{col 35}  Std. err.{col 47}      t{col 55}   P>|t|{col 63}     [95% con{col 76}f. interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}infightv {c |}{col 23}{res}{space 2} .3811613{col 35}{space 2} .1554904{col 46}{space 1}    2.45{col 55}{space 3}0.015{col 63}{space 4} .0747502{col 76}{space 3} .6875724
{txt}{space 12}ln_deaths {c |}{col 23}{res}{space 2} .2680034{col 35}{space 2} .0623101{col 46}{space 1}    4.30{col 55}{space 3}0.000{col 63}{space 4} .1452145{col 76}{space 3} .3907923
{txt}{space 10}1.territory {c |}{col 23}{res}{space 2}-.2993415{col 35}{space 2}  1.22521{col 46}{space 1}   -0.24{col 55}{space 3}0.807{col 63}{space 4}-2.713753{col 76}{space 3}  2.11507
{txt}{space 21} {c |}
territory#c.ln_deaths {c |}
{space 19}1  {c |}{col 23}{res}{space 2} .0371616{col 35}{space 2} .1762017{col 46}{space 1}    0.21{col 55}{space 3}0.833{col 63}{space 4}-.3100634{col 76}{space 3} .3843866
{txt}{space 21} {c |}
{space 15}ln_pop {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 8}ln_kidnap_lag {c |}{col 23}{res}{space 2}-.1033649{col 35}{space 2} .0656788{col 46}{space 1}   -1.57{col 55}{space 3}0.117{col 63}{space 4}-.2327923{col 76}{space 3} .0260624
{txt}{space 7}terr_minus_lag {c |}{col 23}{res}{space 2} .0098541{col 35}{space 2} .0042348{col 46}{space 1}    2.33{col 55}{space 3}0.021{col 63}{space 4} .0015091{col 76}{space 3} .0181992
{txt}{space 14}osv_lag {c |}{col 23}{res}{space 2}  .003023{col 35}{space 2} .0298461{col 46}{space 1}    0.10{col 55}{space 3}0.919{col 63}{space 4}-.0557921{col 76}{space 3}  .061838
{txt}{space 21} {c |}
{space 16}iyear {c |}
{space 16}2012  {c |}{col 23}{res}{space 2} .1288261{col 35}{space 2} .1769497{col 46}{space 1}    0.73{col 55}{space 3}0.467{col 63}{space 4}-.2198729{col 76}{space 3}  .477525
{txt}{space 16}2013  {c |}{col 23}{res}{space 2} .3095119{col 35}{space 2}  .189022{col 46}{space 1}    1.64{col 55}{space 3}0.103{col 63}{space 4}-.0629768{col 76}{space 3} .6820007
{txt}{space 16}2014  {c |}{col 23}{res}{space 2} .5419023{col 35}{space 2} .1845543{col 46}{space 1}    2.94{col 55}{space 3}0.004{col 63}{space 4} .1782176{col 76}{space 3}  .905587
{txt}{space 16}2015  {c |}{col 23}{res}{space 2} .8435972{col 35}{space 2} .1919142{col 46}{space 1}    4.40{col 55}{space 3}0.000{col 63}{space 4}  .465409{col 76}{space 3} 1.221785
{txt}{space 16}2016  {c |}{col 23}{res}{space 2} .5998443{col 35}{space 2} .2028609{col 46}{space 1}    2.96{col 55}{space 3}0.003{col 63}{space 4} .2000843{col 76}{space 3} .9996043
{txt}{space 16}2017  {c |}{col 23}{res}{space 2} .2310368{col 35}{space 2} .1960761{col 46}{space 1}    1.18{col 55}{space 3}0.240{col 63}{space 4}-.1553529{col 76}{space 3} .6174265
{txt}{space 16}2018  {c |}{col 23}{res}{space 2} .6405751{col 35}{space 2} .2028902{col 46}{space 1}    3.16{col 55}{space 3}0.002{col 63}{space 4} .2407574{col 76}{space 3} 1.040393
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2}-.7626477{col 35}{space 2} .3402851{col 46}{space 1}   -2.24{col 55}{space 3}0.026{col 63}{space 4}-1.433217{col 76}{space 3}-.0920782
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              sigma_u {c |} {res} .62678571
              {txt}sigma_e {c |} {res}  .7084679
                  {txt}rho {c |} {res} .43905453{txt}   (fraction of variance due to u_i)
{hline 22}{c BT}{hline 64}
F test that all u_i=0: F({res}33{txt}, {res}224{txt}) = {res}3.76{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. 
. * Old losses + control = less (not supported either)
. xtreg ln_kidnap infightv c.ln_deaths_lag##territory ln_pop ln_kidnap_lag terr_minus_lag osv_lag i.iyear, fe
{txt}{p 0 6 2}note: {bf:ln_pop} omitted because of collinearity.{p_end}
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{txt}{col 49}Number of groups{col 67}={col 69}{res}        34

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.3616{col 63}{txt}min{col 67}={col 69}{res}         8
{txt}     Between = {res}0.3442{col 63}{txt}avg{col 67}={col 69}{res}       8.0
{txt}     Overall = {res}0.3463{col 63}{txt}max{col 67}={col 69}{res}         8

{txt}{col 49}F({res}14{txt}, {res}224{txt}){col 67}={col 70}{res}     9.06
{txt}corr(u_i, Xb) = {res}0.1030{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                ln_kidnap{col 27}{c |} Coefficient{col 39}  Std. err.{col 51}      t{col 59}   P>|t|{col 67}     [95% con{col 80}f. interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 17}infightv {c |}{col 27}{res}{space 2} .3993661{col 39}{space 2} .1591465{col 50}{space 1}    2.51{col 59}{space 3}0.013{col 67}{space 4} .0857502{col 80}{space 3}  .712982
{txt}{space 12}ln_deaths_lag {c |}{col 27}{res}{space 2} .1548199{col 39}{space 2} .0621336{col 50}{space 1}    2.49{col 59}{space 3}0.013{col 67}{space 4} .0323787{col 80}{space 3} .2772612
{txt}{space 14}1.territory {c |}{col 27}{res}{space 2} 1.110253{col 39}{space 2}  1.07574{col 50}{space 1}    1.03{col 59}{space 3}0.303{col 67}{space 4}-1.009612{col 80}{space 3} 3.230117
{txt}{space 25} {c |}
territory#c.ln_deaths_lag {c |}
{space 23}1  {c |}{col 27}{res}{space 2}-.1991525{col 39}{space 2} .1892162{col 50}{space 1}   -1.05{col 59}{space 3}0.294{col 67}{space 4}-.5720241{col 80}{space 3} .1737191
{txt}{space 25} {c |}
{space 19}ln_pop {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 12}ln_kidnap_lag {c |}{col 27}{res}{space 2}-.1172238{col 39}{space 2} .0692046{col 50}{space 1}   -1.69{col 59}{space 3}0.092{col 67}{space 4}-.2535992{col 80}{space 3} .0191515
{txt}{space 11}terr_minus_lag {c |}{col 27}{res}{space 2} .0118958{col 39}{space 2}  .004339{col 50}{space 1}    2.74{col 59}{space 3}0.007{col 67}{space 4} .0033454{col 80}{space 3} .0204463
{txt}{space 18}osv_lag {c |}{col 27}{res}{space 2}-.0019449{col 39}{space 2}  .030602{col 50}{space 1}   -0.06{col 59}{space 3}0.949{col 67}{space 4}-.0622495{col 80}{space 3} .0583597
{txt}{space 25} {c |}
{space 20}iyear {c |}
{space 20}2012  {c |}{col 27}{res}{space 2} .0860834{col 39}{space 2} .1844001{col 50}{space 1}    0.47{col 59}{space 3}0.641{col 67}{space 4}-.2772975{col 80}{space 3} .4494643
{txt}{space 20}2013  {c |}{col 27}{res}{space 2} .2533105{col 39}{space 2} .1960666{col 50}{space 1}    1.29{col 59}{space 3}0.198{col 67}{space 4}-.1330605{col 80}{space 3} .6396816
{txt}{space 20}2014  {c |}{col 27}{res}{space 2} .5195754{col 39}{space 2} .1908341{col 50}{space 1}    2.72{col 59}{space 3}0.007{col 67}{space 4} .1435157{col 80}{space 3} .8956352
{txt}{space 20}2015  {c |}{col 27}{res}{space 2} .8920892{col 39}{space 2} .1967561{col 50}{space 1}    4.53{col 59}{space 3}0.000{col 67}{space 4} .5043594{col 80}{space 3} 1.279819
{txt}{space 20}2016  {c |}{col 27}{res}{space 2} .6198779{col 39}{space 2} .2095708{col 50}{space 1}    2.96{col 59}{space 3}0.003{col 67}{space 4} .2068954{col 80}{space 3}  1.03286
{txt}{space 20}2017  {c |}{col 27}{res}{space 2} .3085944{col 39}{space 2} .2015727{col 50}{space 1}    1.53{col 59}{space 3}0.127{col 67}{space 4}-.0886269{col 80}{space 3} .7058157
{txt}{space 20}2018  {c |}{col 27}{res}{space 2} .7770535{col 39}{space 2} .2083185{col 50}{space 1}    3.73{col 59}{space 3}0.000{col 67}{space 4} .3665388{col 80}{space 3} 1.187568
{txt}{space 25} {c |}
{space 20}_cons {c |}{col 27}{res}{space 2}  .018966{col 39}{space 2} .2548946{col 50}{space 1}    0.07{col 59}{space 3}0.941{col 67}{space 4}-.4833321{col 80}{space 3} .5212641
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                  sigma_u {c |} {res} .67295996
                  {txt}sigma_e {c |} {res}  .7266398
                      {txt}rho {c |} {res} .46170263{txt}   (fraction of variance due to u_i)
{hline 26}{c BT}{hline 64}
F test that all u_i=0: F({res}33{txt}, {res}224{txt}) = {res}3.64{col 62}{txt}Prob > F = {res}0.0000
{txt}
{com}. 
. * Probing Issues of Resource Extraction (Table A22)
. spxtregress ln_kidnap infightv ln_deaths ln_pop territory ln_kidnap_lag terr_minus_lag osv_lag, fe dvarlag(W)
{res}{txt}{col 3}(306 observations)
{col 3}(34 observations excluded due to missing values)
{col 3}(272 observations used)
{col 3}(data contain 34 panels (places) )
{col 3}(weighting matrix defines 34 places)
{res}{txt}
Performing grid search ... {txt}finished 
{txt}
Optimizing concentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-258.75584}  
Iteration 1:{space 2}Log likelihood = {res:-258.58695}  
Iteration 2:{space 2}Log likelihood = {res:-258.58692}  
Iteration 3:{space 2}Log likelihood = {res:-258.58692}  
{txt}
Optimizing unconcentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-258.58692}  
Iteration 1:{space 2}Log likelihood = {res:-258.58692}  (backed up)
{res}
{txt}Fixed-effects spatial regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{col 49}{txt}Number of groups{col 67}={col 69}{res}        34
{txt}{col 49}Obs per group{col 67}={col 69}{res}         8

{txt}{col 49}Wald chi2({res}7{txt}){col 67}={col 70}{res}   123.79
{txt}{col 49}Prob > chi2{col 67}={col 73}{res}0.0000
{txt}Log likelihood = {res} -258.5869{col 49}{txt}Pseudo R2{col 67}={col 73}{res}0.3780

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     ln_kidnap{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      z{col 48}   P>|z|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ln_kidnap      {txt}{c |}
{space 6}infightv {c |}{col 16}{res}{space 2} .4078715{col 28}{space 2} .1513443{col 39}{space 1}    2.69{col 48}{space 3}0.007{col 56}{space 4}  .111242{col 69}{space 3}  .704501
{txt}{space 5}ln_deaths {c |}{col 16}{res}{space 2} .2980346{col 28}{space 2} .0578014{col 39}{space 1}    5.16{col 48}{space 3}0.000{col 56}{space 4}  .184746{col 69}{space 3} .4113232
{txt}{space 8}ln_pop {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 5}territory {c |}{col 16}{res}{space 2}-.1879006{col 28}{space 2} .1626649{col 39}{space 1}   -1.16{col 48}{space 3}0.248{col 56}{space 4} -.506718{col 69}{space 3} .1309168
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2} -.108269{col 28}{space 2} .0614393{col 39}{space 1}   -1.76{col 48}{space 3}0.078{col 56}{space 4}-.2286877{col 69}{space 3} .0121498
{txt}terr_minus_lag {c |}{col 16}{res}{space 2}  .014832{col 28}{space 2} .0036652{col 39}{space 1}    4.05{col 48}{space 3}0.000{col 56}{space 4} .0076482{col 69}{space 3} .0220157
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2}-.0061314{col 28}{space 2} .0287489{col 39}{space 1}   -0.21{col 48}{space 3}0.831{col 56}{space 4}-.0624782{col 69}{space 3} .0502155
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}W              {txt}{c |}
{space 5}ln_kidnap {c |}{col 16}{res}{space 2} .2520062{col 28}{space 2} .0829867{col 39}{space 1}    3.04{col 48}{space 3}0.002{col 56}{space 4} .0893552{col 69}{space 3} .4146572
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
      /sigma_e {c |}{col 16}{res}{space 2} .7132204{col 28}{space 2} .0328021{col 56}{space 4} .6517419{col 69}{space 3} .7804982
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of spatial terms:{col 38}chi2({res}1{txt}) = {res}9.22    {col 59}{txt}Prob > chi2 = {res}0.0024
{txt}
{com}. spxtregress ln_kidnap i.infightv ln_deaths taliban_cultivate cultivate ln_opium ln_pop territory ln_kidnap_lag terr_minus_lag osv_lag, fe dvarlag(W)
{res}{txt}{col 3}(306 observations)
{col 3}(34 observations excluded due to missing values)
{col 3}(272 observations used)
{col 3}(data contain 34 panels (places) )
{col 3}(weighting matrix defines 34 places)
{res}{txt}
Performing grid search ... {txt}finished 
{txt}
Optimizing concentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-258.33753}  
Iteration 1:{space 2}Log likelihood = {res:-258.22944}  
Iteration 2:{space 2}Log likelihood = {res:-258.22943}  
{txt}
Optimizing unconcentrated log likelihood:

Iteration 0:{space 2}Log likelihood = {res:-258.22943}  
Iteration 1:{space 2}Log likelihood = {res:-258.22943}  (backed up)
{res}
{txt}Fixed-effects spatial regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{col 49}{txt}Number of groups{col 67}={col 69}{res}        34
{txt}{col 49}Obs per group{col 67}={col 69}{res}         8

{txt}{col 49}Wald chi2({res}10{txt}){col 67}={col 70}{res}   125.02
{txt}{col 49}Prob > chi2{col 67}={col 73}{res}0.0000
{txt}Log likelihood = {res} -258.2294{col 49}{txt}Pseudo R2{col 67}={col 73}{res}0.3653

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        ln_kidnap{col 19}{c |} Coefficient{col 31}  Std. err.{col 43}      z{col 51}   P>|z|{col 59}     [95% con{col 72}f. interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}ln_kidnap         {txt}{c |}
{space 7}1.infightv {c |}{col 19}{res}{space 2} .4050504{col 31}{space 2} .1512278{col 42}{space 1}    2.68{col 51}{space 3}0.007{col 59}{space 4} .1086493{col 72}{space 3} .7014515
{txt}{space 8}ln_deaths {c |}{col 19}{res}{space 2} .3076184{col 31}{space 2} .0602444{col 42}{space 1}    5.11{col 51}{space 3}0.000{col 59}{space 4} .1895415{col 72}{space 3} .4256953
{txt}taliban_cultivate {c |}{col 19}{res}{space 2}-.0588887{col 31}{space 2} .3619277{col 42}{space 1}   -0.16{col 51}{space 3}0.871{col 59}{space 4}-.7682539{col 72}{space 3} .6504765
{txt}{space 8}cultivate {c |}{col 19}{res}{space 2} .4604033{col 31}{space 2} .6281851{col 42}{space 1}    0.73{col 51}{space 3}0.464{col 59}{space 4}-.7708169{col 72}{space 3} 1.691624
{txt}{space 9}ln_opium {c |}{col 19}{res}{space 2}-.0633061{col 31}{space 2} .0773446{col 42}{space 1}   -0.82{col 51}{space 3}0.413{col 59}{space 4}-.2148988{col 72}{space 3} .0882866
{txt}{space 11}ln_pop {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 8}territory {c |}{col 19}{res}{space 2}-.1342616{col 31}{space 2} .3086077{col 42}{space 1}   -0.44{col 51}{space 3}0.664{col 59}{space 4}-.7391215{col 72}{space 3} .4705984
{txt}{space 4}ln_kidnap_lag {c |}{col 19}{res}{space 2}-.1061736{col 31}{space 2} .0615337{col 42}{space 1}   -1.73{col 51}{space 3}0.084{col 59}{space 4}-.2267773{col 72}{space 3} .0144302
{txt}{space 3}terr_minus_lag {c |}{col 19}{res}{space 2} .0152332{col 31}{space 2} .0037055{col 42}{space 1}    4.11{col 51}{space 3}0.000{col 59}{space 4} .0079706{col 72}{space 3} .0224959
{txt}{space 10}osv_lag {c |}{col 19}{res}{space 2}-.0031012{col 31}{space 2} .0289221{col 42}{space 1}   -0.11{col 51}{space 3}0.915{col 59}{space 4}-.0597875{col 72}{space 3} .0535851
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}W                 {txt}{c |}
{space 8}ln_kidnap {c |}{col 19}{res}{space 2} .2611708{col 31}{space 2} .0838683{col 42}{space 1}    3.11{col 51}{space 3}0.002{col 59}{space 4}  .096792{col 72}{space 3} .4255497
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
         /sigma_e {c |}{col 19}{res}{space 2} .7118455{col 31}{space 2}  .032751{col 59}{space 4} .6504639{col 72}{space 3} .7790195
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Wald test of spatial terms:{col 38}chi2({res}1{txt}) = {res}9.70    {col 59}{txt}Prob > chi2 = {res}0.0018
{txt}
{com}. 
. * Probing Mechanisms for Violent Competition (Table A23)
. * Test extraction (Taliban take civilians from Taliban constituencies)
. xtreg lnkidnapciv i.infightv ln_kidnap_lag terr_minus_lag osv_lag, fe
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}       272
{txt}Group variable: {res}_ID{txt}{col 49}Number of groups{col 67}={col 69}{res}        34

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.3477{col 63}{txt}min{col 67}={col 69}{res}         8
{txt}     Between = {res}0.6278{col 63}{txt}avg{col 67}={col 69}{res}       8.0
{txt}     Overall = {res}0.4477{col 63}{txt}max{col 67}={col 69}{res}         8

{txt}{col 49}F({res}4{txt}, {res}234{txt}){col 67}={col 70}{res}    31.19
{txt}corr(u_i, Xb) = {res}-0.0717{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   lnkidnapciv{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.infightv {c |}{col 16}{res}{space 2} .6226179{col 28}{space 2} .2100921{col 39}{space 1}    2.96{col 48}{space 3}0.003{col 56}{space 4} .2087042{col 69}{space 3} 1.036532
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2} .2546134{col 28}{space 2} .0856369{col 39}{space 1}    2.97{col 48}{space 3}0.003{col 56}{space 4} .0858955{col 69}{space 3} .4233313
{txt}terr_minus_lag {c |}{col 16}{res}{space 2} .0372272{col 28}{space 2} .0046951{col 39}{space 1}    7.93{col 48}{space 3}0.000{col 56}{space 4}  .027977{col 69}{space 3} .0464773
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2}-.0813458{col 28}{space 2} .0405034{col 39}{space 1}   -2.01{col 48}{space 3}0.046{col 56}{space 4}-.1611437{col 69}{space 3}-.0015478
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .4535494{col 28}{space 2} .1321398{col 39}{space 1}    3.43{col 48}{space 3}0.001{col 56}{space 4} .1932137{col 69}{space 3} .7138852
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       sigma_u {c |} {res} .53892814
       {txt}sigma_e {c |} {res} 1.0078794
           {txt}rho {c |} {res} .22234668{txt}   (fraction of variance due to u_i)
{hline 15}{c BT}{hline 64}
F test that all u_i=0: F({res}33{txt}, {res}234{txt}) = {res}2.06{col 62}{txt}Prob > F = {res}0.0011
{txt}
{com}. 
. margins infightv, post
{res}
{txt}{col 1}Predictive margins{col 60}{lalign 13:Number of obs}{col 73} = {res}{ralign 3:272}
{txt}{col 1}Model VCE: {res:Conventional}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}infightv {c |}
{space 10}0  {c |}{col 14}{res}{space 2} 1.386124{col 26}{space 2} .0739886{col 37}{space 1}   18.73{col 46}{space 3}0.000{col 54}{space 4} 1.241109{col 67}{space 3} 1.531139
{txt}{space 10}1  {c |}{col 14}{res}{space 2} 2.008742{col 26}{space 2} .1791294{col 37}{space 1}   11.21{col 46}{space 3}0.000{col 54}{space 4} 1.657655{col 67}{space 3} 2.359829
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(bar)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:infightv}{p_end}
{res}{txt}
{com}. * graph save civilians_taliban1.gph
. 
. * Test outbidding (Taliban take civilians from ISK constituencies)
. xtreg lnkidnapciv i.infightv ln_kidnap_lag terr_minus_lag osv_lag, fe, if isi == 1
{res}
{txt}Fixed-effects (within) regression{col 49}Number of obs{col 67}={col 69}{res}        32
{txt}Group variable: {res}_ID{txt}{col 49}Number of groups{col 67}={col 69}{res}         4

{txt}R-squared:{col 49}Obs per group:
     Within  = {res}0.3954{col 63}{txt}min{col 67}={col 69}{res}         8
{txt}     Between = {res}0.7696{col 63}{txt}avg{col 67}={col 69}{res}       8.0
{txt}     Overall = {res}0.4668{col 63}{txt}max{col 67}={col 69}{res}         8

{txt}{col 49}F({res}4{txt}, {res}24{txt}){col 67}={col 70}{res}     3.92
{txt}corr(u_i, Xb) = {res}0.3234{txt}{col 49}Prob > F{col 67}={col 73}{res}0.0137

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   lnkidnapciv{col 16}{c |} Coefficient{col 28}  Std. err.{col 40}      t{col 48}   P>|t|{col 56}     [95% con{col 69}f. interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}1.infightv {c |}{col 16}{res}{space 2} 1.145516{col 28}{space 2} .4607539{col 39}{space 1}    2.49{col 48}{space 3}0.020{col 56}{space 4} .1945664{col 69}{space 3} 2.096465
{txt}{space 1}ln_kidnap_lag {c |}{col 16}{res}{space 2} .3116858{col 28}{space 2}   .19485{col 39}{space 1}    1.60{col 48}{space 3}0.123{col 56}{space 4}-.0904649{col 69}{space 3} .7138365
{txt}terr_minus_lag {c |}{col 16}{res}{space 2} .0214432{col 28}{space 2} .0138448{col 39}{space 1}    1.55{col 48}{space 3}0.135{col 56}{space 4}-.0071311{col 69}{space 3} .0500174
{txt}{space 7}osv_lag {c |}{col 16}{res}{space 2}-.1585936{col 28}{space 2} .1233101{col 39}{space 1}   -1.29{col 48}{space 3}0.211{col 56}{space 4}-.4130931{col 69}{space 3}  .095906
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .4673969{col 28}{space 2} .3618633{col 39}{space 1}    1.29{col 48}{space 3}0.209{col 56}{space 4}-.2794523{col 69}{space 3} 1.214246
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       sigma_u {c |} {res} .69630221
       {txt}sigma_e {c |} {res} .93109678
           {txt}rho {c |} {res} .35866597{txt}   (fraction of variance due to u_i)
{hline 15}{c BT}{hline 64}
F test that all u_i=0: F({res}3{txt}, {res}24{txt}) = {res}3.89{col 62}{txt}Prob > F = {res}0.0214
{txt}
{com}. 
. margins infightv, post
{res}
{txt}{col 1}Predictive margins{col 61}{lalign 13:Number of obs}{col 74} = {res}{ralign 2:32}
{txt}{col 1}Model VCE: {res:Conventional}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}infightv {c |}
{space 10}0  {c |}{col 14}{res}{space 2} 1.103122{col 26}{space 2} .2284238{col 37}{space 1}    4.83{col 46}{space 3}0.000{col 54}{space 4} .6554192{col 67}{space 3} 1.550824
{txt}{space 10}1  {c |}{col 14}{res}{space 2} 2.248637{col 26}{space 2} .3442664{col 37}{space 1}    6.53{col 46}{space 3}0.000{col 54}{space 4} 1.573888{col 67}{space 3} 2.923387
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(bar)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:infightv}{p_end}
{res}{txt}
{com}. * graph save civilians_isk1.gph
. * graph combine civilians_taliban1.gph civilians_isk1.gph 
. 
{txt}end of do-file

{com}. do "/var/folders/lc/bh2lyhmj6bz7wf29yrkxtzxm0000gp/T//SD01187.000000"
{txt}
{com}. * Probing Issues of Underreporting (Table A21)
. use cell_afghan.dta, clear
{txt}
{com}. 
. regress kidnap cell, cluster(pid)

{txt}Linear regression                               Number of obs     = {res}        34
                                                {txt}F(1, 33)          =  {res}     3.91
                                                {txt}Prob > F          = {res}    0.0564
                                                {txt}R-squared         = {res}    0.0802
                                                {txt}Root MSE          =    {res} 18.672

{txt}{ralign 78:(Std. err. adjusted for {res:34} clusters in {res:pid})}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}      kidnap{col 14}{c |} Coefficient{col 26}  std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}cell {c |}{col 14}{res}{space 2}-12.06601{col 26}{space 2}  6.10164{col 37}{space 1}   -1.98{col 46}{space 3}0.056{col 54}{space 4}-24.47989{col 67}{space 3} .3478728
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 28.33003{col 26}{space 2} 5.504588{col 37}{space 1}    5.15{col 46}{space 3}0.000{col 54}{space 4} 17.13086{col 67}{space 3}  39.5292
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
{txt}end of do-file

{com}. do "/var/folders/lc/bh2lyhmj6bz7wf29yrkxtzxm0000gp/T//SD01187.000000"
{txt}
{com}. * Vector Autoregression: Battle Losses
. use var_afghanistan.dta, clear
{txt}
{com}. 
. varsoc kidnap max_strike, maxlag()

{txt}Lag-order selection criteria

{col 4}Sample: {res}2015m5 {txt}thru{res} 2018m12 {txt}{col 61}Number of obs = {res}44
{col 3}{text}{c TLC}{hline 5}{c TT}{hline 9}{hline 8}{hline 1}{hline 5}{hline 6}{hline 8}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 1}{c TRC}
{col 3}{text}{c |} Lag{col 9}{c |}    LL  {col 19}   LR  {col 28}  df{col 33}   p {col 39}   FPE {col 48}    AIC {col 58}   HQIC {col 68}   SBIC {col 79}{c |}
{res}{col 3}{text}{c LT}{hline 5}{c +}{hline 9}{hline 8}{hline 1}{hline 5}{hline 6}{hline 8}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 1}{c RT}
{col 3}{text}{c |}   0{col 9}{c |}{result}{space 1}-284.142{col 19}{col 28}{col 33}{col 39}  1526.5{col 48}{space 1} 13.0065{col 58}{space 1} 13.0365{col 68}{space 1} 13.0876{col 79}{text}{c |}
{res}{col 3}{text}{c |}   1{col 9}{c |}{result}{space 1}-263.977{col 19}{space 1} 40.331{col 28}   4{col 33} 0.000{col 39} 732.408{col 48}{space 1} 12.2717{col 58}{space 1} 12.3619{col 68}{space 1}  12.515{col 79}{text}{c |}
{res}{col 3}{text}{c |}   2{col 9}{c |}{result}{space 1}-248.719{col 19}{space 1} 30.516{col 28}   4{col 33} 0.000{col 39} 439.729{col 48}{space 1} 11.7599{col 58}{space 1} 11.9103{col 68}{space 1} 12.1654{col 79}{text}{c |}
{res}{col 3}{text}{c |}   3{col 9}{c |}{result}{space 1}-217.599{col 19}{space 1}  62.24{col 27}{txt}*{res}{col 28}   4{col 33} 0.000{col 39} 128.627{col 47}{txt}*{res}{col 48}{space 1} 10.5272{col 57}{txt}*{res}{col 58}{space 1} 10.7377{col 67}{txt}*{res}{col 68}{space 1} 11.0949{col 77}{txt}*{res}{col 79}{text}{c |}
{res}{col 3}{text}{c |}   4{col 9}{c |}{result}{space 1}-216.055{col 19}{space 1} 3.0874{col 28}   4{col 33} 0.543{col 39} 144.723{col 48}{space 1} 10.6389{col 58}{space 1} 10.9095{col 68}{space 1} 11.3688{col 79}{text}{c |}
{res}{col 3}{text}{c BLC}{hline 5}{c BT}{hline 9}{hline 8}{hline 1}{hline 5}{hline 6}{hline 8}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 1}{c BRC}
{res}{txt}{space 3}* optimal lag
{space 3}Endogenous: {res}kidnap max_strike
{txt}{space 3} Exogenous: {res}_cons
{txt}
{com}. varbasic kidnap max_strike, lags(1/2)
{res}
{txt}Vector autoregression

{col 1}Sample: {res}2015m3 {txt}thru{res} 2018m12 {txt}{col 49}Number of obs{col 67}= {res}        46
{txt}Log likelihood =  {res}-258.0879{txt}{col 38}{col 49}AIC{col 67}=  {res}   11.656
{txt}FPE{col 16}=  {res} 396.2184{txt}{col 49}HQIC{col 67}=  {res} 11.80491
{txt}Det(Sigma_ml){col 16}=  {res} 256.0719{txt}{col 49}SBIC{col 67}=  {res} 12.05353

{col 1}{text}Equation        {col 18}  Parms{col 26}     RMSE {col 37}   R-sq  {col 47}   chi2   {col 58} P>chi2
{res}{col 1}{text}{hline 17}{hline 8}{hline 11}{hline 10}{hline 11}{hline 7}
{col 1}{text}kidnap          {col 18}{result}     5{col 26}{space 2} 3.96555{col 37}{space 1} 0.2315{col 47}  13.8558{col 58} 0.0078
{col 1}{text}max_strike      {col 18}{result}     5{col 26}{space 2} 4.64626{col 37}{space 1} 0.7491{col 47} 137.3211{col 58} 0.0000
{col 1}{text}{hline 17}{hline 8}{hline 11}{hline 10}{hline 11}{hline 7}
{res}
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}kidnap       {txt}{c |}
{space 6}kidnap {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}  .451008{col 26}{space 2} .1489686{col 37}{space 1}    3.03{col 46}{space 3}0.002{col 54}{space 4}  .159035{col 67}{space 3} .7429811
{txt}{space 9}L2. {c |}{col 14}{res}{space 2}-.1773126{col 26}{space 2} .1862559{col 37}{space 1}   -0.95{col 46}{space 3}0.341{col 54}{space 4}-.5423675{col 67}{space 3} .1877423
{txt}{space 12} {c |}
{space 2}max_strike {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .0431969{col 26}{space 2}  .093351{col 37}{space 1}    0.46{col 46}{space 3}0.644{col 54}{space 4}-.1397676{col 67}{space 3} .2261614
{txt}{space 9}L2. {c |}{col 14}{res}{space 2} .1026926{col 26}{space 2} .1009316{col 37}{space 1}    1.02{col 46}{space 3}0.309{col 54}{space 4}-.0951296{col 67}{space 3} .3005148
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.555608{col 26}{space 2} .6771598{col 37}{space 1}    2.30{col 46}{space 3}0.022{col 54}{space 4} .2283987{col 67}{space 3} 2.882816
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}max_strike   {txt}{c |}
{space 6}kidnap {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .9631377{col 26}{space 2} .1745399{col 37}{space 1}    5.52{col 46}{space 3}0.000{col 54}{space 4} .6210459{col 67}{space 3}  1.30523
{txt}{space 9}L2. {c |}{col 14}{res}{space 2}-.1366923{col 26}{space 2} .2182278{col 37}{space 1}   -0.63{col 46}{space 3}0.531{col 54}{space 4}-.5644109{col 67}{space 3} .2910263
{txt}{space 12} {c |}
{space 2}max_strike {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}  .196902{col 26}{space 2} .1093752{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.0174694{col 67}{space 3} .4112734
{txt}{space 9}L2. {c |}{col 14}{res}{space 2} .7247042{col 26}{space 2}  .118257{col 37}{space 1}    6.13{col 46}{space 3}0.000{col 54}{space 4} .4929247{col 67}{space 3} .9564837
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.8425204{col 26}{space 2} .7933981{col 37}{space 1}   -1.06{col 46}{space 3}0.288{col 54}{space 4}-2.397552{col 67}{space 3} .7125112
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
.         #delimit ;
{txt}delimiter now ;
{com}.         irf graph oirf, impulse(max_strike) response(kidnap) 
>                                         plot1opts(lc(navy) lw(medium))
>                                         ci1opts(color(black%10) lc(white%10))
>                                         byopts(note("") legend(off)) 
>                                         title("", size(vlarge) margin(medsmall) box bexpand fc(gs16) lw(thin) linegap(2))
>                                         subtitle("", size(medlarge) margin(medsmall) box bexpand fc(gs14) lw(thin) linegap(2))
>                                         xtitle("Months")
>                                         ytitle("")
>                                         yline(0, lcolor(gs0) lw(vthin) lp(shortdash))
>                                         scheme(s1mono)
>                                         xlabel(0(1)8)
>                                         yscale(range(-0.1 1.2))
>                                         ylabel(-1(0.5) 3, nogrid)
>                                         ysize(1) xsize(1)
>                                         saving(g2, replace)
> 
>         ;
{res}{txt}file {bf:g2.gph} saved

{com}.         #delimit cr
{txt}delimiter now cr
{com}. 
{txt}end of do-file

{com}. do "/var/folders/lc/bh2lyhmj6bz7wf29yrkxtzxm0000gp/T//SD01187.000000"
{txt}
{com}. * Vector Autoregression: Violent Competition
. varsoc kidnap infight_t, maxlag()

{txt}Lag-order selection criteria

{col 4}Sample: {res}2015m5 {txt}thru{res} 2018m12 {txt}{col 61}Number of obs = {res}44
{col 3}{text}{c TLC}{hline 5}{c TT}{hline 9}{hline 8}{hline 1}{hline 5}{hline 6}{hline 8}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 1}{c TRC}
{col 3}{text}{c |} Lag{col 9}{c |}    LL  {col 19}   LR  {col 28}  df{col 33}   p {col 39}   FPE {col 48}    AIC {col 58}   HQIC {col 68}   SBIC {col 79}{c |}
{res}{col 3}{text}{c LT}{hline 5}{c +}{hline 9}{hline 8}{hline 1}{hline 5}{hline 6}{hline 8}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 1}{c RT}
{col 3}{text}{c |}   0{col 9}{c |}{result}{space 1}-103.753{col 19}{col 28}{col 33}{col 39} .419463{col 48}{space 1} 4.80696{col 58}{space 1} 4.83703{col 68}{space 1} 4.88806{col 79}{text}{c |}
{res}{col 3}{text}{c |}   1{col 9}{c |}{result}{space 1}-96.5272{col 19}{space 1} 14.452{col 28}   4{col 33} 0.006{col 39} .362402{col 48}{space 1} 4.66033{col 58}{space 1} 4.75056{col 68}{space 1} 4.90363{col 79}{text}{c |}
{res}{col 3}{text}{c |}   2{col 9}{c |}{result}{space 1}-87.3738{col 19}{space 1} 18.307{col 28}   4{col 33} 0.001{col 39} .287164{col 48}{space 1} 4.42608{col 58}{space 1} 4.57646{col 68}{space 1} 4.83158{col 79}{text}{c |}
{res}{col 3}{text}{c |}   3{col 9}{c |}{result}{space 1}-74.9692{col 19}{space 1} 24.809{col 27}{txt}*{res}{col 28}   4{col 33} 0.000{col 39} .196666{col 48}{space 1} 4.04405{col 58}{space 1} 4.25458{col 67}{txt}*{res}{col 68}{space 1} 4.61175{col 77}{txt}*{res}{col 79}{text}{c |}
{res}{col 3}{text}{c |}   4{col 9}{c |}{result}{space 1}-70.2694{col 19}{space 1} 9.3996{col 28}   4{col 33} 0.052{col 39} .191704{col 47}{txt}*{res}{col 48}{space 1} 4.01224{col 57}{txt}*{res}{col 58}{space 1} 4.28292{col 68}{space 1} 4.74214{col 79}{text}{c |}
{res}{col 3}{text}{c BLC}{hline 5}{c BT}{hline 9}{hline 8}{hline 1}{hline 5}{hline 6}{hline 8}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 1}{c BRC}
{res}{txt}{space 3}* optimal lag
{space 3}Endogenous: {res}kidnap infight_t
{txt}{space 3} Exogenous: {res}_cons
{txt}
{com}. varbasic kidnap infight_t, lags(1/2)
{res}
{txt}Vector autoregression

{col 1}Sample: {res}2015m3 {txt}thru{res} 2018m12 {txt}{col 49}Number of obs{col 67}= {res}        46
{txt}Log likelihood =  {res}-95.26001{txt}{col 38}{col 49}AIC{col 67}=  {res} 4.576522
{txt}FPE{col 16}=  {res} .3337018{txt}{col 49}HQIC{col 67}=  {res}  4.72544
{txt}Det(Sigma_ml){col 16}=  {res} .2156681{txt}{col 49}SBIC{col 67}=  {res} 4.974053

{col 1}{text}Equation        {col 18}  Parms{col 26}     RMSE {col 37}   R-sq  {col 47}   chi2   {col 58} P>chi2
{res}{col 1}{text}{hline 17}{hline 8}{hline 11}{hline 10}{hline 11}{hline 7}
{col 1}{text}kidnap          {col 18}{result}     5{col 26}{space 2} 3.70431{col 37}{space 1} 0.3294{col 47} 22.59607{col 58} 0.0002
{col 1}{text}infight_t       {col 18}{result}     5{col 26}{space 2} .146143{col 37}{space 1} 0.1049{col 47}  5.38923{col 58} 0.2496
{col 1}{text}{hline 17}{hline 8}{hline 11}{hline 10}{hline 11}{hline 7}
{res}
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}kidnap       {txt}{c |}
{space 6}kidnap {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .3775041{col 26}{space 2} .1411123{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4}  .100929{col 67}{space 3} .6540792
{txt}{space 9}L2. {c |}{col 14}{res}{space 2}  -.14986{col 26}{space 2} .1386408{col 37}{space 1}   -1.08{col 46}{space 3}0.280{col 54}{space 4}-.4215911{col 67}{space 3}  .121871
{txt}{space 12} {c |}
{space 3}infight_t {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} 8.618371{col 26}{space 2} 3.741605{col 37}{space 1}    2.30{col 46}{space 3}0.021{col 54}{space 4} 1.284961{col 67}{space 3} 15.95178
{txt}{space 9}L2. {c |}{col 14}{res}{space 2} 5.367559{col 26}{space 2} 2.605037{col 37}{space 1}    2.06{col 46}{space 3}0.039{col 54}{space 4} .2617802{col 67}{space 3} 10.47334
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.577824{col 26}{space 2} .6315692{col 37}{space 1}    2.50{col 46}{space 3}0.012{col 54}{space 4} .3399717{col 67}{space 3} 2.815677
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}infight_t    {txt}{c |}
{space 6}kidnap {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .0124219{col 26}{space 2} .0055672{col 37}{space 1}    2.23{col 46}{space 3}0.026{col 54}{space 4} .0015105{col 67}{space 3} .0233334
{txt}{space 9}L2. {c |}{col 14}{res}{space 2} -.007781{col 26}{space 2} .0054697{col 37}{space 1}   -1.42{col 46}{space 3}0.155{col 54}{space 4}-.0185013{col 67}{space 3} .0029394
{txt}{space 12} {c |}
{space 3}infight_t {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}-.0791455{col 26}{space 2} .1476145{col 37}{space 1}   -0.54{col 46}{space 3}0.592{col 54}{space 4}-.3684646{col 67}{space 3} .2101736
{txt}{space 9}L2. {c |}{col 14}{res}{space 2}-.0465896{col 26}{space 2} .1027744{col 37}{space 1}   -0.45{col 46}{space 3}0.650{col 54}{space 4}-.2480238{col 67}{space 3} .1548446
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .0125326{col 26}{space 2} .0249168{col 37}{space 1}    0.50{col 46}{space 3}0.615{col 54}{space 4}-.0363034{col 67}{space 3} .0613686
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
.         #delimit ;
{txt}delimiter now ;
{com}.         irf graph oirf, impulse(infight_t) response(kidnap) 
>                                         plot1opts(lc(navy) lw(medium))
>                                         ci1opts(color(black%10) lc(white%10))
>                                         byopts(note("") legend(off)) 
>                                         title("", size(vlarge) margin(medsmall) box bexpand fc(gs16) lw(thin) linegap(2))
>                                         subtitle("", size(medlarge) margin(medsmall) box bexpand fc(gs14) lw(thin) linegap(2))
>                                         xtitle("Months")
>                                         ytitle("")
>                                         yline(0, lcolor(gs0) lw(vthin) lp(shortdash))
>                                         scheme(s1mono)
>                                         xlabel(0(1)8)
>                                         yscale(range(-0.1 1.2))
>                                         ylabel(-1(0.5) 3, nogrid)
>                                         ysize(1) xsize(1)
>                                         saving(g2, replace)
> 
>         ;
{res}{txt}file {bf:g2.gph} saved

{com}.         #delimit cr
{txt}delimiter now cr
{com}. 
{txt}end of do-file

{com}. do "/var/folders/lc/bh2lyhmj6bz7wf29yrkxtzxm0000gp/T//SD01187.000000"
{txt}
{com}. * Vector Autoregression: Alternative Lags for Battle Losses
. varsoc kidnap max_strike, maxlag()

{txt}Lag-order selection criteria

{col 4}Sample: {res}2015m5 {txt}thru{res} 2018m12 {txt}{col 61}Number of obs = {res}44
{col 3}{text}{c TLC}{hline 5}{c TT}{hline 9}{hline 8}{hline 1}{hline 5}{hline 6}{hline 8}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 1}{c TRC}
{col 3}{text}{c |} Lag{col 9}{c |}    LL  {col 19}   LR  {col 28}  df{col 33}   p {col 39}   FPE {col 48}    AIC {col 58}   HQIC {col 68}   SBIC {col 79}{c |}
{res}{col 3}{text}{c LT}{hline 5}{c +}{hline 9}{hline 8}{hline 1}{hline 5}{hline 6}{hline 8}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 1}{c RT}
{col 3}{text}{c |}   0{col 9}{c |}{result}{space 1}-284.142{col 19}{col 28}{col 33}{col 39}  1526.5{col 48}{space 1} 13.0065{col 58}{space 1} 13.0365{col 68}{space 1} 13.0876{col 79}{text}{c |}
{res}{col 3}{text}{c |}   1{col 9}{c |}{result}{space 1}-263.977{col 19}{space 1} 40.331{col 28}   4{col 33} 0.000{col 39} 732.408{col 48}{space 1} 12.2717{col 58}{space 1} 12.3619{col 68}{space 1}  12.515{col 79}{text}{c |}
{res}{col 3}{text}{c |}   2{col 9}{c |}{result}{space 1}-248.719{col 19}{space 1} 30.516{col 28}   4{col 33} 0.000{col 39} 439.729{col 48}{space 1} 11.7599{col 58}{space 1} 11.9103{col 68}{space 1} 12.1654{col 79}{text}{c |}
{res}{col 3}{text}{c |}   3{col 9}{c |}{result}{space 1}-217.599{col 19}{space 1}  62.24{col 27}{txt}*{res}{col 28}   4{col 33} 0.000{col 39} 128.627{col 47}{txt}*{res}{col 48}{space 1} 10.5272{col 57}{txt}*{res}{col 58}{space 1} 10.7377{col 67}{txt}*{res}{col 68}{space 1} 11.0949{col 77}{txt}*{res}{col 79}{text}{c |}
{res}{col 3}{text}{c |}   4{col 9}{c |}{result}{space 1}-216.055{col 19}{space 1} 3.0874{col 28}   4{col 33} 0.543{col 39} 144.723{col 48}{space 1} 10.6389{col 58}{space 1} 10.9095{col 68}{space 1} 11.3688{col 79}{text}{c |}
{res}{col 3}{text}{c BLC}{hline 5}{c BT}{hline 9}{hline 8}{hline 1}{hline 5}{hline 6}{hline 8}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 1}{c BRC}
{res}{txt}{space 3}* optimal lag
{space 3}Endogenous: {res}kidnap max_strike
{txt}{space 3} Exogenous: {res}_cons
{txt}
{com}. 
. varbasic kidnap max_strike, lags(1/3)
{res}
{txt}Vector autoregression

{col 1}Sample: {res}2015m4 {txt}thru{res} 2018m12 {txt}{col 49}Number of obs{col 67}= {res}        45
{txt}Log likelihood =  {res}-221.6843{txt}{col 38}{col 49}AIC{col 67}=  {res} 10.47486
{txt}FPE{col 16}=  {res} 122.0213{txt}{col 49}HQIC{col 67}=  {res} 10.68439
{txt}Det(Sigma_ml){col 16}=  {res} 65.16227{txt}{col 49}SBIC{col 67}=  {res} 11.03693

{col 1}{text}Equation        {col 18}  Parms{col 26}     RMSE {col 37}   R-sq  {col 47}   chi2   {col 58} P>chi2
{res}{col 1}{text}{hline 17}{hline 8}{hline 11}{hline 10}{hline 11}{hline 7}
{col 1}{text}kidnap          {col 18}{result}     7{col 26}{space 2} 3.54281{col 37}{space 1} 0.4267{col 47} 33.49756{col 58} 0.0000
{col 1}{text}max_strike      {col 18}{result}     7{col 26}{space 2} 2.72214{col 37}{space 1} 0.9199{col 47} 516.9452{col 58} 0.0000
{col 1}{text}{hline 17}{hline 8}{hline 11}{hline 10}{hline 11}{hline 7}
{res}
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}kidnap       {txt}{c |}
{space 6}kidnap {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .6236515{col 26}{space 2} .1416077{col 37}{space 1}    4.40{col 46}{space 3}0.000{col 54}{space 4} .3461054{col 67}{space 3} .9011975
{txt}{space 9}L2. {c |}{col 14}{res}{space 2}-.5414564{col 26}{space 2} .1885049{col 37}{space 1}   -2.87{col 46}{space 3}0.004{col 54}{space 4}-.9109192{col 67}{space 3}-.1719937
{txt}{space 9}L3. {c |}{col 14}{res}{space 2} .5761766{col 26}{space 2}  .164951{col 37}{space 1}    3.49{col 46}{space 3}0.000{col 54}{space 4} .2528787{col 67}{space 3} .8994745
{txt}{space 12} {c |}
{space 2}max_strike {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .2497807{col 26}{space 2} .1170781{col 37}{space 1}    2.13{col 46}{space 3}0.033{col 54}{space 4} .0203119{col 67}{space 3} .4792496
{txt}{space 9}L2. {c |}{col 14}{res}{space 2}-.1218493{col 26}{space 2} .1046645{col 37}{space 1}   -1.16{col 46}{space 3}0.244{col 54}{space 4}-.3269879{col 67}{space 3} .0832892
{txt}{space 9}L3. {c |}{col 14}{res}{space 2}-.2994203{col 26}{space 2} .1360552{col 37}{space 1}   -2.20{col 46}{space 3}0.028{col 54}{space 4}-.5660836{col 67}{space 3}-.0327571
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 1.072303{col 26}{space 2} .6238684{col 37}{space 1}    1.72{col 46}{space 3}0.086{col 54}{space 4} -.150456{col 67}{space 3} 2.295063
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}max_strike   {txt}{c |}
{space 6}kidnap {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .5455757{col 26}{space 2} .1088053{col 37}{space 1}    5.01{col 46}{space 3}0.000{col 54}{space 4} .3323212{col 67}{space 3} .7588302
{txt}{space 9}L2. {c |}{col 14}{res}{space 2}  .496502{col 26}{space 2} .1448391{col 37}{space 1}    3.43{col 46}{space 3}0.001{col 54}{space 4} .2126227{col 67}{space 3} .7803814
{txt}{space 9}L3. {c |}{col 14}{res}{space 2}-.3287677{col 26}{space 2} .1267412{col 37}{space 1}   -2.59{col 46}{space 3}0.009{col 54}{space 4} -.577176{col 67}{space 3}-.0803595
{txt}{space 12} {c |}
{space 2}max_strike {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} -.436388{col 26}{space 2} .0899578{col 37}{space 1}   -4.85{col 46}{space 3}0.000{col 54}{space 4} -.612702{col 67}{space 3} -.260074
{txt}{space 9}L2. {c |}{col 14}{res}{space 2} .9835281{col 26}{space 2} .0804197{col 37}{space 1}   12.23{col 46}{space 3}0.000{col 54}{space 4} .8259084{col 67}{space 3} 1.141148
{txt}{space 9}L3. {c |}{col 14}{res}{space 2} 1.011726{col 26}{space 2}  .104539{col 37}{space 1}    9.68{col 46}{space 3}0.000{col 54}{space 4} .8068333{col 67}{space 3} 1.216618
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.8495744{col 26}{space 2} .4793537{col 37}{space 1}   -1.77{col 46}{space 3}0.076{col 54}{space 4} -1.78909{col 67}{space 3} .0899415
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
.         #delimit ;
{txt}delimiter now ;
{com}.         irf graph oirf, impulse(max_strike) response(kidnap) 
>                                         plot1opts(lc(navy) lw(medium))
>                                         ci1opts(color(black%10) lc(white%10))
>                                         byopts(note("") legend(off)) 
>                                         title("", size(vlarge) margin(medsmall) box bexpand fc(gs16) lw(thin) linegap(2))
>                                         subtitle("", size(medlarge) margin(medsmall) box bexpand fc(gs14) lw(thin) linegap(2))
>                                         xtitle("Months")
>                                         ytitle("")
>                                         yline(0, lcolor(gs0) lw(vthin) lp(shortdash))
>                                         scheme(s1mono)
>                                         xlabel(0(1)8)
>                                         yscale(range(-0.1 1.2))
>                                         ylabel(-1(0.5) 3, nogrid)
>                                         ysize(1) xsize(1)
>                                         saving(g2, replace)
> 
>         ;
{res}{txt}file {bf:g2.gph} saved

{com}.         #delimit cr
{txt}delimiter now cr
{com}. 
. * Vector Autoregression: Alternative Lags for Violent Competition
. varsoc kidnap infight_t, maxlag()

{txt}Lag-order selection criteria

{col 4}Sample: {res}2015m5 {txt}thru{res} 2018m12 {txt}{col 61}Number of obs = {res}44
{col 3}{text}{c TLC}{hline 5}{c TT}{hline 9}{hline 8}{hline 1}{hline 5}{hline 6}{hline 8}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 1}{c TRC}
{col 3}{text}{c |} Lag{col 9}{c |}    LL  {col 19}   LR  {col 28}  df{col 33}   p {col 39}   FPE {col 48}    AIC {col 58}   HQIC {col 68}   SBIC {col 79}{c |}
{res}{col 3}{text}{c LT}{hline 5}{c +}{hline 9}{hline 8}{hline 1}{hline 5}{hline 6}{hline 8}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 1}{c RT}
{col 3}{text}{c |}   0{col 9}{c |}{result}{space 1}-103.753{col 19}{col 28}{col 33}{col 39} .419463{col 48}{space 1} 4.80696{col 58}{space 1} 4.83703{col 68}{space 1} 4.88806{col 79}{text}{c |}
{res}{col 3}{text}{c |}   1{col 9}{c |}{result}{space 1}-96.5272{col 19}{space 1} 14.452{col 28}   4{col 33} 0.006{col 39} .362402{col 48}{space 1} 4.66033{col 58}{space 1} 4.75056{col 68}{space 1} 4.90363{col 79}{text}{c |}
{res}{col 3}{text}{c |}   2{col 9}{c |}{result}{space 1}-87.3738{col 19}{space 1} 18.307{col 28}   4{col 33} 0.001{col 39} .287164{col 48}{space 1} 4.42608{col 58}{space 1} 4.57646{col 68}{space 1} 4.83158{col 79}{text}{c |}
{res}{col 3}{text}{c |}   3{col 9}{c |}{result}{space 1}-74.9692{col 19}{space 1} 24.809{col 27}{txt}*{res}{col 28}   4{col 33} 0.000{col 39} .196666{col 48}{space 1} 4.04405{col 58}{space 1} 4.25458{col 67}{txt}*{res}{col 68}{space 1} 4.61175{col 77}{txt}*{res}{col 79}{text}{c |}
{res}{col 3}{text}{c |}   4{col 9}{c |}{result}{space 1}-70.2694{col 19}{space 1} 9.3996{col 28}   4{col 33} 0.052{col 39} .191704{col 47}{txt}*{res}{col 48}{space 1} 4.01224{col 57}{txt}*{res}{col 58}{space 1} 4.28292{col 68}{space 1} 4.74214{col 79}{text}{c |}
{res}{col 3}{text}{c BLC}{hline 5}{c BT}{hline 9}{hline 8}{hline 1}{hline 5}{hline 6}{hline 8}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 9}{hline 1}{hline 1}{c BRC}
{res}{txt}{space 3}* optimal lag
{space 3}Endogenous: {res}kidnap infight_t
{txt}{space 3} Exogenous: {res}_cons
{txt}
{com}. 
. varbasic kidnap infight_t, lags(1/4)
{res}
{txt}Vector autoregression

{col 1}Sample: {res}2015m5 {txt}thru{res} 2018m12 {txt}{col 49}Number of obs{col 67}= {res}        44
{txt}Log likelihood =  {res}-70.26938{txt}{col 38}{col 49}AIC{col 67}=  {res} 4.012244
{txt}FPE{col 16}=  {res} .1917038{txt}{col 49}HQIC{col 67}=  {res} 4.282925
{txt}Det(Sigma_ml){col 16}=  {res} .0836017{txt}{col 49}SBIC{col 67}=  {res}  4.74214

{col 1}{text}Equation        {col 18}  Parms{col 26}     RMSE {col 37}   R-sq  {col 47}   chi2   {col 58} P>chi2
{res}{col 1}{text}{hline 17}{hline 8}{hline 11}{hline 10}{hline 11}{hline 7}
{col 1}{text}kidnap          {col 18}{result}     9{col 26}{space 2} 2.74228{col 37}{space 1} 0.6826{col 47} 94.61108{col 58} 0.0000
{col 1}{text}infight_t       {col 18}{result}     9{col 26}{space 2} .141344{col 37}{space 1} 0.2845{col 47} 17.49623{col 58} 0.0253
{col 1}{text}{hline 17}{hline 8}{hline 11}{hline 10}{hline 11}{hline 7}
{res}
{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}kidnap       {txt}{c |}
{space 6}kidnap {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .4592582{col 26}{space 2} .1552781{col 37}{space 1}    2.96{col 46}{space 3}0.003{col 54}{space 4} .1549188{col 67}{space 3} .7635976
{txt}{space 9}L2. {c |}{col 14}{res}{space 2}-.3574169{col 26}{space 2} .1198949{col 37}{space 1}   -2.98{col 46}{space 3}0.003{col 54}{space 4}-.5924066{col 67}{space 3}-.1224273
{txt}{space 9}L3. {c |}{col 14}{res}{space 2} .6609781{col 26}{space 2} .1511235{col 37}{space 1}    4.37{col 46}{space 3}0.000{col 54}{space 4} .3647816{col 67}{space 3} .9571747
{txt}{space 9}L4. {c |}{col 14}{res}{space 2}-.0446949{col 26}{space 2} .1496735{col 37}{space 1}   -0.30{col 46}{space 3}0.765{col 54}{space 4}-.3380495{col 67}{space 3} .2486598
{txt}{space 12} {c |}
{space 3}infight_t {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} 10.37522{col 26}{space 2} 2.833021{col 37}{space 1}    3.66{col 46}{space 3}0.000{col 54}{space 4} 4.822604{col 67}{space 3} 15.92784
{txt}{space 9}L2. {c |}{col 14}{res}{space 2} 8.133348{col 26}{space 2} 3.499936{col 37}{space 1}    2.32{col 46}{space 3}0.020{col 54}{space 4}   1.2736{col 67}{space 3}  14.9931
{txt}{space 9}L3. {c |}{col 14}{res}{space 2}-9.908554{col 26}{space 2} 3.471993{col 37}{space 1}   -2.85{col 46}{space 3}0.004{col 54}{space 4}-16.71353{col 67}{space 3}-3.103573
{txt}{space 9}L4. {c |}{col 14}{res}{space 2}-1.828481{col 26}{space 2} 2.011762{col 37}{space 1}   -0.91{col 46}{space 3}0.363{col 54}{space 4}-5.771462{col 67}{space 3}   2.1145
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} .8790783{col 26}{space 2}  .508093{col 37}{space 1}    1.73{col 46}{space 3}0.084{col 54}{space 4}-.1167657{col 67}{space 3} 1.874922
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}infight_t    {txt}{c |}
{space 6}kidnap {c |}
{space 9}L1. {c |}{col 14}{res}{space 2} .0326788{col 26}{space 2} .0080034{col 37}{space 1}    4.08{col 46}{space 3}0.000{col 54}{space 4} .0169925{col 67}{space 3} .0483652
{txt}{space 9}L2. {c |}{col 14}{res}{space 2}-.0114459{col 26}{space 2} .0061797{col 37}{space 1}   -1.85{col 46}{space 3}0.064{col 54}{space 4}-.0235578{col 67}{space 3}  .000666
{txt}{space 9}L3. {c |}{col 14}{res}{space 2} .0183424{col 26}{space 2} .0077892{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .0030757{col 67}{space 3}  .033609
{txt}{space 9}L4. {c |}{col 14}{res}{space 2} -.022254{col 26}{space 2} .0077145{col 37}{space 1}   -2.88{col 46}{space 3}0.004{col 54}{space 4}-.0373742{col 67}{space 3}-.0071338
{txt}{space 12} {c |}
{space 3}infight_t {c |}
{space 9}L1. {c |}{col 14}{res}{space 2}-.2041762{col 26}{space 2} .1460204{col 37}{space 1}   -1.40{col 46}{space 3}0.162{col 54}{space 4}-.4903709{col 67}{space 3} .0820184
{txt}{space 9}L2. {c |}{col 14}{res}{space 2}-.4562316{col 26}{space 2} .1803947{col 37}{space 1}   -2.53{col 46}{space 3}0.011{col 54}{space 4}-.8097986{col 67}{space 3}-.1026645
{txt}{space 9}L3. {c |}{col 14}{res}{space 2} -.400454{col 26}{space 2} .1789544{col 37}{space 1}   -2.24{col 46}{space 3}0.025{col 54}{space 4}-.7511982{col 67}{space 3}-.0497097
{txt}{space 9}L4. {c |}{col 14}{res}{space 2} .0866794{col 26}{space 2} .1036908{col 37}{space 1}    0.84{col 46}{space 3}0.403{col 54}{space 4}-.1165508{col 67}{space 3} .2899097
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-.0077699{col 26}{space 2} .0261883{col 37}{space 1}   -0.30{col 46}{space 3}0.767{col 54}{space 4} -.059098{col 67}{space 3} .0435581
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
.         #delimit ;
{txt}delimiter now ;
{com}.         irf graph oirf, impulse(infight_t) response(kidnap) 
>                                         plot1opts(lc(navy) lw(medium))
>                                         ci1opts(color(black%10) lc(white%10))
>                                         byopts(note("") legend(off)) 
>                                         title("", size(vlarge) margin(medsmall) box bexpand fc(gs16) lw(thin) linegap(2))
>                                         subtitle("", size(medlarge) margin(medsmall) box bexpand fc(gs14) lw(thin) linegap(2))
>                                         xtitle("Months")
>                                         ytitle("")
>                                         yline(0, lcolor(gs0) lw(vthin) lp(shortdash))
>                                         scheme(s1mono)
>                                         xlabel(0(1)8)
>                                         yscale(range(-0.1 1.2))
>                                         ylabel(-1(0.5) 3, nogrid)
>                                         ysize(1) xsize(1)
>                                         saving(g2, replace)
> 
>         ;
{res}{txt}file {bf:g2.gph} saved

{com}.         #delimit cr
{txt}delimiter now cr
{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/bjw9936/Downloads/Welsh23_ISQ/masterlog.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 4 Mar 2024, 11:38:21
{txt}{.-}
{smcl}
{txt}{sf}{ul off}